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ORCIDIan R. Manchester
Person information
- affiliation: University of Sydney, Australian Centre for Field Robotics (ACFR), Sydney, NSW, Australia
- affiliation (PhD 2006): University of New South Wales, Sydney, NSW, Australia
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2020 – today
- 2024
[j32]Bowen Yi
, Ian R. Manchester:
On IMU preintegration: A nonlinear observer viewpoint and its applications. Syst. Control. Lett. 193: 105933 (2024)- [j31]Bowen Yi, Lei Wang, Ian R. Manchester:
Attitude Estimation From Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. IEEE Trans. Autom. Control. 69(1): 511-518 (2024) - [j30]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. IEEE Trans. Autom. Control. 69(5): 2855-2870 (2024) - [j29]Bowen Yi, Ian R. Manchester:
On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. IEEE Trans. Autom. Control. 69(7): 4336-4351 (2024) - [c63]Ruigang Wang, Krishnamurthy Dj Dvijotham, Ian R. Manchester:
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. ICML 2024 - [i68]Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester:
Learning Stable Koopman Embeddings for Identification and Control. CoRR abs/2401.08153 (2024) - [i67]Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester:
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR abs/2402.01344 (2024) - [i66]Dongjun Wu, Bowen Yi, Ian R. Manchester:
Control contraction metrics on Lie groups. CoRR abs/2403.15264 (2024) - [i65]Jing Cheng, Ruigang Wang, Ian R. Manchester:
Learning Stable and Passive Neural Differential Equations. CoRR abs/2404.12554 (2024) - [i64]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks. CoRR abs/2405.11432 (2024) - [i63]Damian Abood, Ian R. Manchester:
Path-Parameterised RRTs for Underactuated Systems. CoRR abs/2409.05278 (2024) - [i62]Tara Bartlett, Ian R. Manchester:
Real-time Coupled Centroidal Motion and Footstep Planning for Biped Robots. CoRR abs/2409.09939 (2024) - 2023
- [j28]Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi:
Differential initial-value privacy and observability of linear dynamical systems. Autom. 148: 110722 (2023) - [j27]Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. IEEE Control. Syst. Lett. 7: 91-96 (2023) - [j26]Vera L. J. Somers, Ian R. Manchester:
Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. IEEE Trans. Control. Netw. Syst. 10(1): 394-406 (2023) - [c62]Ruigang Wang, Armaghan Zafar, Ian R. Manchester:
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. ACC 2023: 4320-4325 - [c61]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CDC 2023: 1028-1033 - [c60]Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate:
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CDC 2023: 3043-3048 - [c59]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. CDC 2023: 5345-5350 - [c58]Ruigang Wang, Ian R. Manchester:
Direct Parameterization of Lipschitz-Bounded Deep Networks. ICML 2023: 36093-36110 - [i61]Ruigang Wang, Ian R. Manchester:
Direct Parameterization of Lipschitz-Bounded Deep Networks. CoRR abs/2301.11526 (2023) - [i60]Vera L. J. Somers, Ian R. Manchester:
Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks. CoRR abs/2302.02079 (2023) - [i59]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR abs/2303.11835 (2023) - [i58]Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate:
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CoRR abs/2304.02976 (2023) - [i57]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CoRR abs/2304.06193 (2023) - [i56]Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester:
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. CoRR abs/2306.12612 (2023) - [i55]Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Viorela Ila, Ian R. Manchester:
PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees. CoRR abs/2306.12723 (2023) - [i54]Bowen Yi, Ian R. Manchester:
On IMU preintegration: A nonlinear observer viewpoint and its application. CoRR abs/2307.04165 (2023) - 2022
- [j25]Bowen Yi, Chi Jin, Ian R. Manchester:
Globally convergent visual-feature range estimation with biased inertial measurements. Autom. 146: 110639 (2022) - [j24]Max Revay, Jack Umenberger, Ian R. Manchester:
Distributed Identification of Contracting and/or Monotone Network Dynamics. IEEE Trans. Autom. Control. 67(7): 3410-3425 (2022) - [j23]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Trans. Autom. Control. 67(8): 4045-4060 (2022) - [c57]Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. ACC 2022: 2116-2123 - [c56]Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester:
Learning Stable Koopman Embeddings. ACC 2022: 2742-2747 - [c55]Vera L. J. Somers, Ian R. Manchester:
Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. ACC 2022: 3632-3639 - [i53]Bowen Yi, Lei Wang, Ian R. Manchester:
Attitude estimation from vector measurements: Necessary and sufficient conditions and convergent observer design. CoRR abs/2206.13058 (2022) - [i52]Ruigang Wang, Armaghan Zafar, Ian R. Manchester:
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. CoRR abs/2210.15798 (2022) - 2021
- [j22]Vera L. J. Somers, Ian R. Manchester:
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. IEEE Control. Syst. Lett. 5(2): 547-552 (2021) - [j21]Max Revay, Ruigang Wang, Ian R. Manchester:
A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. 5(4): 1363-1368 (2021) - [c54]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. ACC 2021: 411-416 - [c53]Max Revay, Ruigang Wang, Ian R. Manchester:
A Convex Parameterization of Robust Recurrent Neural Networks. ACC 2021: 2824-2829 - [c52]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC 2021: 2282-2287 - [c51]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC 2021: 2955-2962 - [c50]Bowen Yi, Ian R. Manchester:
On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. CDC 2021: 4609-4614 - [c49]Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester:
An almost globally convergent observer for visual SLAM without persistent excitation. CDC 2021: 5441-5446 - [i51]Lei Wang, Yang Liu, Ian R. Manchester, Guodong Shi:
Differentially Private Distributed Computation via Public-Private Communication Networks. CoRR abs/2101.01376 (2021) - [i50]Bowen Yi, Ian R. Manchester:
On the equivalence of contraction and Koopman approaches for nonlinear stability and control. CoRR abs/2103.15033 (2021) - [i49]Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester:
An almost globally convergent observer for visual SLAM without persistent excitation. CoRR abs/2104.02966 (2021) - [i48]Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth:
Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. CoRR abs/2104.04917 (2021) - [i47]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR abs/2104.05942 (2021) - [i46]Vera L. J. Somers, Ian R. Manchester:
Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. CoRR abs/2107.05878 (2021) - [i45]Max Revay, Jack Umenberger, Ian R. Manchester:
Distributed Identification of Contracting and/or Monotone Network Dynamics. CoRR abs/2107.14309 (2021) - [i44]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR abs/2110.00207 (2021) - [i43]Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester:
Learning Stable Koopman Embeddings. CoRR abs/2110.06509 (2021) - [i42]Vera L. J. Somers, Ian R. Manchester:
Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. CoRR abs/2110.07755 (2021) - [i41]Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. CoRR abs/2112.01253 (2021) - [i40]Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR abs/2112.04219 (2021) - [i39]Bowen Yi, Chi Jin, Ian R. Manchester:
Globally convergent visual-feature range estimation with biased inertial measurements. CoRR abs/2112.12325 (2021) - 2020
- [j20]Felix H. Kong, Ian R. Manchester:
Contraction analysis of nonlinear noncausal iterative learning control. Syst. Control. Lett. 136: 104599 (2020) - [c48]Ruigang Wang, Ian R. Manchester:
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. ACC 2020: 1619-1624 - [c47]Bowen Yi, Ruigang Wang, Ian R. Manchester:
On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. CDC 2020: 2000-2005 - [c46]Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi:
Initial-Value Privacy of Linear Dynamical Systems. CDC 2020: 3108-3113 - [c45]Jack Liell-Cock, Ian R. Manchester, Guodong Shi:
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CDC 2020: 6254-6259 - [c44]Max Revay, Ian R. Manchester:
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. L4DC 2020: 393-403 - [i38]Bowen Yi, Romeo Ortega, Ian R. Manchester, Houria Siguerdidjane:
Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization. CoRR abs/2001.10325 (2020) - [i37]Vera L. J. Somers, Ian R. Manchester:
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. CoRR abs/2003.07555 (2020) - [i36]Ruigang Wang, Roland Tóth, Ian R. Manchester:
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR abs/2003.08513 (2020) - [i35]Max Revay, Ruigang Wang, Ian R. Manchester:
Convex Sets of Robust Recurrent Neural Networks. CoRR abs/2004.05290 (2020) - [i34]Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi:
Initial-Value Privacy of Linear Dynamical Systems. CoRR abs/2008.10193 (2020) - [i33]Jack Liell-Cock, Ian R. Manchester, Guodong Shi:
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CoRR abs/2009.02627 (2020) - [i32]Bowen Yi, Ruigang Wang, Ian R. Manchester:
On necessary conditions of tracking control for nonlinear systems via contraction analysis. CoRR abs/2009.08662 (2020) - [i31]Max Revay, Ruigang Wang, Ian R. Manchester:
Lipschitz Bounded Equilibrium Networks. CoRR abs/2010.01732 (2020) - [i30]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. CoRR abs/2012.06158 (2020)
2010 – 2019
- 2019
- [j19]Jack Umenberger, Ian R. Manchester:
Convex Bounds for Equation Error in Stable Nonlinear Identification. IEEE Control. Syst. Lett. 3(1): 73-78 (2019) - [j18]Jack Umenberger, Ian R. Manchester:
Specialized Interior-Point Algorithm for Stable Nonlinear System Identification. IEEE Trans. Autom. Control. 64(6): 2442-2456 (2019) - [j17]Humberto Stein Shiromoto, Max Revay, Ian R. Manchester:
Distributed Nonlinear Control Design Using Separable Control Contraction Metrics. IEEE Trans. Control. Netw. Syst. 6(4): 1281-1290 (2019) - [c43]Ruigang Wang, Ian R. Manchester:
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CDC 2019: 6766-6771 - [c42]A. Mounir Boudali, Peter J. Sinclair, Ian R. Manchester:
Prediction of Smooth Gait Transitioning for Active Lower Limb Prosthetics. EMBC 2019: 2424-2429 - [c41]Vera L. J. Somers, Ian R. Manchester:
Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. ICRA 2019: 739-745 - [i29]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism. CoRR abs/1902.06966 (2019) - [i28]Ruigang Wang, Ian R. Manchester:
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CoRR abs/1903.08806 (2019) - [i27]Vera L. J. Somers, Ian R. Manchester:
Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. CoRR abs/1903.11204 (2019) - [i26]Ruigang Wang, Roland Tóth, Ian R. Manchester:
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR abs/1905.01811 (2019) - [i25]Ruigang Wang, Ian R. Manchester:
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. CoRR abs/1909.13033 (2019) - [i24]Max Revay, Ian R. Manchester:
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. CoRR abs/1912.10402 (2019) - 2018
- [j16]Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön:
Maximum likelihood identification of stable linear dynamical systems. Autom. 96: 280-292 (2018) - [j15]Ian R. Manchester, Jean-Jacques E. Slotine:
Robust Control Contraction Metrics: A Convex Approach to Nonlinear State-Feedback H∞ Control. IEEE Control. Syst. Lett. 2(3): 333-338 (2018) - [c40]Ian R. Manchester:
Contracting Nonlinear Observers: Convex Optimization and Learning from Data. ACC 2018: 1873-1880 - [c39]Thomas L. Chaffey, Ian R. Manchester:
Control Contraction Metrics on Finsler Manifolds. ACC 2018: 3626-3633 - [c38]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions. CDC 2018: 4499-4504 - [c37]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers. CDC 2018: 5346-5351 - [c36]Fletcher Fan, Ian R. Manchester:
Robust Control of Dynamic Walking Robots Using Transverse H∞. ICRA 2018: 418-425 - [c35]Felix H. Kong, Ian R. Manchester:
Iterative Learning of Energy-Efficient Dynamic Walking Gaits. IROS 2018: 3815-3820 - [i23]Thomas L. Chaffey, Ian R. Manchester:
Control Contraction Metrics on Finsler Manifolds. CoRR abs/1803.01034 (2018) - [i22]Jack Umenberger, Ian R. Manchester:
Specialized Interior Point Algorithm for Stable Nonlinear System Identification. CoRR abs/1803.01066 (2018) - [i21]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Privacy-Preserving Gossip Algorithms. CoRR abs/1808.00120 (2018) - [i20]Humberto Stein Shiromoto, Max Revay, Ian R. Manchester:
Distributed Nonlinear Control Design using Separable Control Contraction Metrics. CoRR abs/1810.04794 (2018) - 2017
- [j14]Ruigang Wang, Ian R. Manchester, Jie Bao:
Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. 1(1): 104-109 (2017) - [j13]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. IEEE Trans. Autom. Control. 62(6): 3046-3053 (2017) - [j12]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. IEEE Trans. Autom. Control. 62(7): 3679-3686 (2017) - [c34]Karen Leung, Ian R. Manchester:
Nonlinear stabilization via Control Contraction Metrics: A pseudospectral approach for computing geodesics. ACC 2017: 1284-1289 - [c33]Christian Grussler, Jack Umenberger, Ian R. Manchester:
Identification of externally positive systems. CDC 2017: 6549-6554 - [c32]A. Mounir Boudali, Peter J. Sinclair, Richard Smith, Ian R. Manchester:
Human locomotion analysis: Identifying a dynamic mapping between upper and lower limb joints using the Koopman operator. EMBC 2017: 1889-1892 - [c31]A. Mounir Boudali, Felix H. Kong, Javier Martinez, Justin Z. Tang, Ian R. Manchester:
Design and modeling of an open platform for dynamic walking research. ICM 2017: 85-92 - [c30]Justin Z. Tang, A. Mounir Boudali, Ian R. Manchester:
Invariant funnels for underactuated dynamic walking robots: New phase variable and experimental validation. ICRA 2017: 3497-3504 - [i19]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. CoRR abs/1701.06652 (2017) - [i18]Ian R. Manchester, Jean-Jacques E. Slotine:
On Existence of Separable Contraction Metrics for Monotone Nonlinear Systems. CoRR abs/1704.02676 (2017) - [i17]Ian R. Manchester, Thomas L. Chaffey:
An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design". CoRR abs/1711.08128 (2017) - [i16]Ian R. Manchester:
Contracting Nonlinear Observers: Convex Optimization and Learning from Data. CoRR abs/1711.08135 (2017) - 2016
- [c29]Jack Umenberger, Ian R. Manchester:
Specialized algorithm for identification of stable linear systems using Lagrangian relaxation. ACC 2016: 930-935 - [c28]Jack Umenberger, Ian R. Manchester:
Scalable identification of stable positive systems. CDC 2016: 4630-4635 - [c27]Humberto Stein Shiromoto, Ian R. Manchester:
Decentralized nonlinear feedback design with separable control contraction metrics. CDC 2016: 5551-5556 - [i15]Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön:
Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation. CoRR abs/1603.09157 (2016) - [i14]Karen Leung, Ian R. Manchester:
Chebyshev Pseudospectral Method for Nonlinear Stabilization using Control Contraction Metrics. CoRR abs/1607.04340 (2016) - [i13]Humberto Stein Shiromoto, Ian R. Manchester:
Decentralized Nonlinear Feedback Design with Separable Control Contraction Metrics. CoRR abs/1609.07237 (2016) - 2015
- [j11]Seunggyun Cheong, Ian R. Manchester:
Input design for discrimination between classes of LTI models. Autom. 53: 103-110 (2015) - [j10]Guilherme J. Maeda, Ian R. Manchester, David C. Rye:
Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation. IEEE Trans. Control. Syst. Technol. 23(5): 1754-1769 (2015) - [c26]Felix H. Kong, A. Mounir Boudali, Ian R. Manchester:
Phase-indexed ILC for control of underactuated walking robots. CCA 2015: 1467-1472 - [c25]Ian R. Manchester, Justin Z. Tang, Jean-Jacques E. Slotine:
Unifying Robot Trajectory Tracking with Control Contraction Metrics. ISRR (2) 2015: 403-418 - [i12]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. CoRR abs/1503.03144 (2015) - 2014
- [j9]Ian R. Manchester, Jean-Jacques E. Slotine:
Transverse contraction criteria for existence, stability, and robustness of a limit cycle. Syst. Control. Lett. 63: 32-38 (2014) - [c24]Seunggyun Cheong, Ian R. Manchester:
Input design for model discrimination and fault detection via convex relaxation. ACC 2014: 684-690 - [c23]Seunggyun Cheong, Ian R. Manchester:
Unfalsified adaptive control with MPC candidates. ACC 2014: 2863-2868 - [c22]Hua Ouyang, Ian R. Manchester:
Model validation and set membership state estimation for continuous-time nonlinear systems: Contraction metric approach. AuCC 2014: 158-163 - [c21]Ian R. Manchester, Jean-Jacques E. Slotine:
Output-feedback control of nonlinear systems using control contraction metrics and convex optimization. AuCC 2014: 215-220 - [c20]Justin Z. Tang, Ian R. Manchester:
Transverse contraction criteria for stability of nonlinear hybrid limit cycles. CDC 2014: 31-36 - [c19]Ian R. Manchester, Jack Umenberger:
Real-time planning with primitives for dynamic walking over uneven terrain. ICRA 2014: 4639-4646 - [i11]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics: Differential L2 Gain and Observer Duality. CoRR abs/1403.5364 (2014) - [i10]Justin Z. Tang, Ian R. Manchester:
Transverse Contraction Criteria for Stability of Nonlinear Hybrid Limit Cycles. CoRR abs/1403.5374 (2014) - [i9]Ian R. Manchester, Jean-Jacques E. Slotine:
Output-Feedback Control of Nonlinear Systems using Control Contraction Metrics and Convex Optimization. CoRR abs/1406.1256 (2014) - 2013
- [c18]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Stable nonlinear identification from noisy repeated experiments via convex optimization. ACC 2013: 3936-3941 - [c17]Ian R. Manchester, Jean-Jacques E. Slotine:
Transverse contraction criteria for existence, stability, and robustness of a limit cycle. CDC 2013: 5909-5914 - [i8]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Stable Nonlinear Identification From Noisy Repeated Experiments via Convex Optimization. CoRR abs/1303.4175 (2013) - [i7]Ian R. Manchester, Jack Umenberger:
Real-Time Planning with Primitives for Dynamic Walking over Uneven Terrain. CoRR abs/1310.7062 (2013) - [i6]Seunggyun Cheong, Ian R. Manchester:
Input Design for Model Discrimination and Fault Detection via Convex Relaxation. CoRR abs/1310.7262 (2013) - [i5]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics and Universal Stabilizability. CoRR abs/1311.4625 (2013) - 2012
- [i4]Ian R. Manchester, Jean-Jacques E. Slotine:
Contraction Criteria for Existence, Stability, and Robustness of a Limit Cycle. CoRR abs/1209.4433 (2012) - 2011
- [j8]Alexander C. Shkolnik, Michael Levashov, Ian R. Manchester, Russ Tedrake:
Bounding on rough terrain with the LittleDog robot. Int. J. Robotics Res. 30(2): 192-215 (2011) - [j7]Ian R. Manchester, Uwe Mettin, Fumiya Iida, Russ Tedrake:
Stable dynamic walking over uneven terrain. Int. J. Robotics Res. 30(3): 265-279 (2011) - [c16]John W. Roberts, Ian R. Manchester, Russ Tedrake:
Feedback controller parameterizations for Reinforcement Learning. ADPRL 2011: 310-317 - [c15]Ian R. Manchester, Mark M. Tobenkin, Jennifer Wang:
Identification of nonlinear systems with stable oscillations. CDC/ECC 2011: 5792-5797 - [i3]Ian R. Manchester, Mark M. Tobenkin, Jennifer Wang:
Identification of Nonlinear Systems with Stable Oscillations. CoRR abs/1103.5431 (2011) - 2010
- [j6]Russ Tedrake, Ian R. Manchester, Mark M. Tobenkin, John W. Roberts:
LQR-trees: Feedback Motion Planning via Sums-of-Squares Verification. Int. J. Robotics Res. 29(8): 1038-1052 (2010) - [j5]Kennet Andersson, Ian R. Manchester, Jan Malm, Anders Eklund:
Real-time estimation of cerebrospinal fluid system parameters via oscillating pressure infusion. Medical Biol. Eng. Comput. 48(11): 1123-1131 (2010) - [c14]Ian R. Manchester:
Input design for system identification via convex relaxation. CDC 2010: 2041-2046 - [c13]Ian R. Manchester, Kennet Andersson, Jan Malm, Anders Eklund:
System identification for clinical diagnosis of hydrocephalus. CDC 2010: 3391-3396 - [c12]Mark M. Tobenkin, Ian R. Manchester, Jennifer Wang, Alexandre Megretski, Russ Tedrake:
Convex optimization in identification of stable non-linear state space models. CDC 2010: 7232-7237 - [i2]Ian R. Manchester:
Input Design for System Identification via Convex Relaxation. CoRR abs/1009.5614 (2010) - [i1]Ian R. Manchester, Mark M. Tobenkin, Michael Levashov, Russ Tedrake:
Regions of Attraction for Hybrid Limit Cycles of Walking Robots. CoRR abs/1010.2247 (2010)
2000 – 2009
- 2009
- [c11]Ian R. Manchester:
An algorithm for amplitude-constrained input design for system identification. CDC 2009: 1551-1556 - [c10]Ian R. Manchester, Uwe Mettin, Fumiya Iida, Russ Tedrake:
Stable Dynamic Walking over Rough Terrain - Theory and Experiment. ISRR 2009: 123-138 - 2008
- [j4]Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester:
Can we make a robot ballerina perform a pirouette? Orbital stabilization of periodic motions of underactuated mechanical systems. Annu. Rev. Control. 32(2): 200-211 (2008) - [j3]Ian R. Manchester, K. S. Andersson, Nina Andersson, Anton S. Shiriaev, Anders Eklund:
A nonlinear observer for on-line estimation of the cerebrospinal fluid outflow resistance. Autom. 44(5): 1426-1430 (2008) - [c9]Ian R. Manchester, Emily May Peng Low, Andrey V. Savkin:
Interception of a moving object with a specified approach angle by a wheeled robot: Theory and experiment. CDC 2008: 490-495 - [c8]Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester:
Periodic motion planning and analytical computation of transverse linearizations for hybrid mechanical systems. CDC 2008: 4326-4331 - [c7]Simon Westerberg, Ian R. Manchester, Uwe Mettin, Pedro X. La Hera, Anton S. Shiriaev:
Virtual environment teleoperation of a hydraulic forestry crane. ICRA 2008: 4049-4054 - 2007
- [j2]Emily May Peng Low, Ian R. Manchester, Andrey V. Savkin:
A biologically inspired method for vision-based docking of wheeled mobile robots. Robotics Auton. Syst. 55(10): 769-784 (2007) - [c6]Ian R. Manchester, Emily May Peng Low, Andrey V. Savkin:
Vision-Based Interception of a Moving Target by a Mobile Robot. CCA 2007: 397-402 - [c5]Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester:
Can we make a robot ballerina perform a pirouette? orbital stabilization of periodic motions of unde. ALCOSP/PSYCO 2007: 32-43 - [c4]Ian R. Manchester, Anton S. Shiriaev, Andrey V. Savkin:
On motion planning for an underactuated ship: Fundamental limitations and a bearings-only navigation strategy. CDC 2007: 2411-2416 - [c3]Leonid B. Freidovich, Anton S. Shiriaev, Ian R. Manchester:
Experimental implementation of stable oscillations of the Furuta pendulum around the upward equilibrium. IROS 2007: 171-176 - 2006
- [j1]Veerachai Malyavej, Ian R. Manchester, Andrey V. Savkin:
Precision missile guidance using radar/multiple-video sensor fusion via communication channels with bit-rate constraints. Autom. 42(5): 763-769 (2006) - 2003
- [c2]Ian R. Manchester, Andrey V. Savkin, Farhail A. Faruqi:
Optical-flow based precision missile guidance inspired by honeybee navigation. CDC 2003: 5444-5449 - 2002
- [c1]Ian R. Manchester, Andrey V. Savkin:
Circular navigation guidance law for precision missile/target engagements. CDC 2002: 1287-1292
Coauthor Index
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