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ORCIDChristopher T. Freeman
Christopher Thomas Freeman – Chris T. Freeman – Chris Freeman 0001
Person information
- affiliation: University of Southampton, UK
Other persons with the same name
- Chris Freeman 0002
![[0000-0001-9114-359X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9114-359X")
— Taylor & Francis Group, Melbourne, VIC, Australia
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2020 – today
- 2024
[j35]Shekhar Mahmud, Turker Berk Donmez, Mohammed Mansour, Mustafa Kutlu, Chris Freeman:
Anemia detection through non-invasive analysis of lip mucosa images. Frontiers Big Data 6 (2024)- [j34]Shekhar Mahmud, Mohammed Mansour, Turker Berk Donmez, Mustafa Kutlu, Chris Freeman:
Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks. Frontiers Big Data 6 (2024) - [c77]Shangcheng Chen, Christopher T. Freeman:
Decentralised Collaborative Iterative Learning Control for Multi-Agent Systems Point-to-Point Channel Tracking. ACC 2024: 2784-2789 - [c76]Xiaoru Sun, Chris T. Freeman:
Artificial Neural Network Based ILC with Application to Stroke Rehabilitation. ACC 2024: 4825-4830 - [c75]Michael Callum Thompson, Christopher T. Freeman, Neil O'Brien, Ann-Marie Hughes, Robert Marchbanks, A. Birch:
Model Predictive Valve Control for Lung Pressure Profile Tracking Assistance. CCTA 2024: 624-630 - [c74]Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman:
Explaining an Agent's Future Beliefs Through Temporally Decomposing Future Reward Estimators. ECAI 2024: 2790-2797 - [c73]Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman:
Temporal Explanations of Deep Reinforcement Learning Agents. EXTRAAMAS 2024: 99-115 - [i2]Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman:
Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators. CoRR abs/2408.08230 (2024) - 2023
- [j33]Shekhar Mahmud, Turker Berk Donmez, Mohammed Mansour, Mustafa Kutlu, Chris Freeman:
Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images. Frontiers Big Data 6 (2023) - [j32]Shekhar Mahmud, Mohammed Mansour, Turker Berk Donmez, Mustafa Kutlu, Chris Freeman:
Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks. Frontiers Big Data 6 (2023) - [j31]Liuping Wang, Chris T. Freeman, Eric Rogers, Peter C. Young:
Disturbance Observer-Based Repetitive Control System With Nonminimal State-Space Realization and Experimental Evaluation. IEEE Trans. Control. Syst. Technol. 31(2): 961-968 (2023) - [c72]Junlin Zhou, Christopher T. Freeman, William Holderbaum:
Multiple Model Iterative Learning Control for FES-based Stroke Rehabilitation. ACC 2023: 2147-2152 - [c71]Tingze Fang, Christopher T. Freeman:
Multiple Model Switched Repetitive Control with Application to Tremor Suppression. ACC 2023: 3859-3864 - [i1]Alexander Dawid Bincalar, m. c. schraefel, Christopher T. Freeman:
Introducing Vibration for use in Interaction Designs to support Human Performance: A Pilot Study. CoRR abs/2304.10546 (2023) - 2022
- [j30]Liuping Wang, Chris T. Freeman, Eric Rogers:
Disturbance observer-based predictive repetitive control with constraints. Int. J. Control 95(4): 1060-1069 (2022) - [j29]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Iterative Learning Control for Path-Following Tasks With Performance Optimization. IEEE Trans. Control. Syst. Technol. 30(1): 234-246 (2022) - [c70]Xiaoru Sun, Chris T. Freeman:
Parametrised Function ILC with application to FES Electrode Arrays. ACC 2022: 4329-4334 - [c69]Michael Callum Thompson, Christopher T. Freeman, Neil O'Brien, Ann-Marie Hughes, Tony Birch, Robert Marchbanks:
Model Predictive Valve Control of Lung Pressure Profile Tracking. ANZCC 2022: 132-137 - [c68]Ilias Kazantzidis, Timothy J. Norman, Yali Du, Christopher T. Freeman:
How to Train Your Agent: Active Learning from Human Preferences and Justifications in Safety-critical Environments. AAMAS 2022: 1654-1656 - 2020
- [j28]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Generalized Iterative Learning Control Using Successive Projection: Algorithm, Convergence, and Experimental Verification. IEEE Trans. Control. Syst. Technol. 28(6): 2079-2091 (2020) - [c67]Shangcheng Chen, Christopher T. Freeman:
Decentralised Collaborative and Formation Iterative Learning Control for Multi-Agent Systems. ACC 2020: 2729-2734 - [c66]Benyan Huo, Yanhong Liu, Yunhui Qin, Bing Chu, Christopher T. Freeman:
Disturbance Observer Based Iterative Learning Control for Upper Limb Rehabilitation. IECON 2020: 2774-2779
2010 – 2019
- 2019
- [j27]Engin Hasan Copur, Chris T. Freeman, Bing Chu, Dina Shona Laila:
Repetitive Control of Electrical Stimulation for Tremor Suppression. IEEE Trans. Control. Syst. Technol. 27(2): 540-552 (2019) - [c65]Shangcheng Chen, Christopher T. Freeman:
Decentralised Collaborative Iterative Learning Control for MIMO Multi-Agent Systems. ACC 2019: 3352-3357 - [c64]Sakariya Sa-e, Christopher T. Freeman, Kai Yang:
Iterative Learning Control of FES with Embedded Simultaneous Volitional EMG. CDC 2019: 5587-5592 - 2018
- [j26]Abeer Al-Gburi, Christopher T. Freeman, Mark French:
Gap-metric-based robustness analysis of nonlinear systems with full and partial feedback linearisation. Int. J. Control 91(6): 1385-1402 (2018) - [j25]Kai Yang, Katie L. Meadmore, Chris T. Freeman, Neil J. Grabham, Ann-Marie Hughes, Yang Wei, Russel N. Torah, Monika Glanc-Gostkiewicz, Steve P. Beeby, John Tudor:
Development of User-Friendly Wearable Electronic Textiles for Healthcare Applications. Sensors 18(8): 2410 (2018) - [j24]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Point-to-Point Iterative Learning Control With Optimal Tracking Time Allocation. IEEE Trans. Control. Syst. Technol. 26(5): 1685-1698 (2018) - [c63]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Norm Optimal Iterative Learning Control for General Spatial Path Following Problem. CDC 2018: 4933-4938 - [c62]Shangcheng Chen, Christopher T. Freeman, Bing Chu:
Gradient-Based Iterative Learning Control for Decentralised Collaborative Tracking. ECC 2018: 721-726 - [c61]Aaron Peter Page, Christopher T. Freeman, Bing Chu:
Point-to-Point Repetitive Control with Application to Drop-Foot. ECC 2018: 2399-2404 - [c60]Christopher T. Freeman, Katie L. Meadmore, Ann-Marie Hughes, Neil J. Grabham, John Tudor, Kai Yang:
Multiple Model Adaptive ILC for Human Movement Assistance. ECC 2018: 2405-2410 - 2017
- [j23]Christopher Thomas Freeman:
Robust ILC design with application to stroke rehabilitation. Autom. 81: 270-278 (2017) - [j22]Shou-Han Zhou, Ying Tan, Denny Oetomo, Christopher T. Freeman, Etienne Burdet, Iven Mareels:
Modeling of Endpoint Feedback Learning Implemented Through Point-to-Point Learning Control. IEEE Trans. Control. Syst. Technol. 25(5): 1576-1585 (2017) - [c59]Merid Ljesnjanin, Ying Tan, Denny Oetomo, Christopher T. Freeman:
Spatial Iterative Learning Control: Systems with input saturation. ACC 2017: 5121-5126 - [c58]Chris T. Freeman:
Multiple model switched repetitive control. CDC 2017: 4801-4806 - 2016
- [j21]Engin Hasan Copur, Chris T. Freeman, Bing Chu, Dina Shona Laila:
System identification for FES-based tremor suppression. Eur. J. Control 27: 45-59 (2016) - [j20]Bing Chu, David H. Owens, Christopher T. Freeman:
Iterative Learning Control With Predictive Trial Information: Convergence, Robustness, and Experimental Verification. IEEE Trans. Control. Syst. Technol. 24(3): 1101-1108 (2016) - [c57]Chris T. Freeman:
Robust control design for electrical stimulation electrode arrays. ACC 2016: 3964-3969 - [c56]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Spatial path tracking using iterative learning control. CDC 2016: 7189-7194 - 2015
- [j19]David H. Owens, Chris T. Freeman, Bing Chu:
Generalized norm optimal iterative learning control with intermediate point and sub-interval tracking. Int. J. Autom. Comput. 12(3): 243-253 (2015) - [j18]Bing Chu, Chris T. Freeman, David H. Owens:
A Novel Design Framework for Point-to-Point ILC Using Successive Projection. IEEE Trans. Control. Syst. Technol. 23(3): 1156-1163 (2015) - [j17]Christopher T. Freeman:
Upper Limb Electrical Stimulation Using Input-Output Linearization and Iterative Learning Control. IEEE Trans. Control. Syst. Technol. 23(4): 1546-1554 (2015) - [j16]Oliver Brend, Chris T. Freeman, Mark French:
Multiple-Model Adaptive Control of Functional Electrical Stimulation. IEEE Trans. Control. Syst. Technol. 23(5): 1901-1913 (2015) - [c55]Bing Chu, David H. Owens, Christopher T. Freeman:
Predictive gradient iterative learning control. CDC 2015: 2377-2382 - [c54]Engin Hasan Copur, Christopher T. Freeman, Bing Chu, Dina Shona Laila:
FES based tremor suppression using repetitive control. CDC 2015: 6023-6028 - [c53]Christopher T. Freeman, Mark French:
Estimation based multiple model iterative learning control. CDC 2015: 6070-6075 - [c52]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Point-to-point iterative learning control with optimal tracking time allocation. CDC 2015: 6089-6094 - 2014
- [j15]David H. Owens, Chris T. Freeman, Bing Chu:
An inverse-model approach to multivariable norm optimal iterative learning control with auxiliary optimisation. Int. J. Control 87(8): 1646-1671 (2014) - [j14]David H. Owens, Bing Chu, Eric Rogers, Chris T. Freeman, Paul L. Lewin:
Influence of Nonminimum Phase Zeros on the Performance of Optimal Continuous-Time Iterative Learning Control. IEEE Trans. Control. Syst. Technol. 22(3): 1151-1158 (2014) - [c51]Christopher T. Freeman:
Iterative learning control with restricted input subspace for electrode array-based FES. ACC 2014: 4243-4248 - [c50]Christopher T. Freeman, Shou-Han Zhou, Ying Tan, Denny Oetomo, Etienne Burdet, Iven M. Y. Mareels:
On experimentally validated iterative learning control in human motor systems. ACC 2014: 4262-4267 - [c49]Tim Exell, Christopher T. Freeman, Katie L. Meadmore, Mustafa Çagri Kutlu, Ann-Marie Hughes, Emma Hallewell, Eric Rogers, Jane H. Burridge:
Iterative learning control as an enabler for goal oriented upper limb stroke rehabilitation. ACC 2014: 4796-4801 - [c48]Lukasz Hladowski, Thanh Van Dinh, Krzysztof Galkowski, Eric Rogers, Chris T. Freeman:
2D systems based iterative learning control design for multiple-input multiple-output systems. MMAR 2014: 27-32 - 2013
- [j13]David H. Owens, Chris T. Freeman, Bing Chu:
Multivariable norm optimal iterative learning control with auxiliary optimisation. Int. J. Control 86(6): 1026-1045 (2013) - [j12]Chris T. Freeman, Ying Tan:
Iterative Learning Control With Mixed Constraints for Point-to-Point Tracking. IEEE Trans. Control. Syst. Technol. 21(3): 604-616 (2013) - [j11]David H. Owens, Christopher T. Freeman, Thanh Van Dinh:
Norm-Optimal Iterative Learning Control With Intermediate Point Weighting: Theory, Algorithms, and Experimental Evaluation. IEEE Trans. Control. Syst. Technol. 21(3): 999-1007 (2013) - [j10]Pawel Grzegorz Dabkowski, Krzysztof Galkowski, Eric Rogers, Zhonglun Cai, Chris T. Freeman, Paul L. Lewin:
Iterative Learning Control Based on Relaxed 2-D Systems Stability Criteria. IEEE Trans. Control. Syst. Technol. 21(3): 1016-1023 (2013) - [c47]Oliver Brend, Christopher T. Freeman, Mark French:
Adaptive control of functional electrical stimulation for upper limb stroke rehabilitation. CCA 2013: 97-102 - [c46]David H. Owens, Christopher Thomas Freeman, Bing Chu:
Norm Optimal Iterative Learning Control with Auxiliary Optimization: A Switching Approach. ALCOSP 2013: 140-145 - [c45]Thanh Van Dinh, Christopher Thomas Freeman, Paul L. Lewin:
Evaluation of Iterative Learning Control Using a Multivariable Test Facility. ALCOSP 2013: 146-151 - [c44]Anna Izabela Soska, Christopher Thomas Freeman, Tim Exell, Eric Rogers:
Surface Electrode Array Based Control of the Wrist and Hand. ALCOSP 2013: 164-169 - [c43]David H. Owens, Christopher Thomas Freeman, Bing Chu:
Norm Optimal Iterative Learning Control for Planar Tracking Tasks. ALCOSP 2013: 683-688 - [c42]Shou-Han Zhou, Ying Tan, Denny Oetomo, Christopher T. Freeman, Etienne Burdet, Iven M. Y. Mareels:
Point-to-point learning in human motor systems. ACC 2013: 5923-5928 - [c41]David H. Owens, Chris T. Freeman, Bing Chu:
Norm optimal Iterative Learning Control with auxiliary optimization - An inverse model approach. ACC 2013: 6691-6696 - [c40]Shou-Han Zhou, Ying Tan, Denny Oetomo, Chris T. Freeman, Iven Mareels:
On on-line sampled-data optimal learning for dynamic systems with uncertainties. ASCC 2013: 1-7 - [c39]Abeer Al-Gburi, Mark French, Christopher T. Freeman:
Robustness analysis of nonlinear systems with feedback linearizing control. CDC 2013: 3055-3060 - [c38]Oliver Brend, Christopher T. Freeman, Mark French:
Norm optimal iterative learning control based on a multiple model switched adaptive framework. CDC 2013: 7297-7302 - [c37]Timothy Exell, Christopher T. Freeman, Katie L. Meadmore, Mustafa Çagri Kutlu, Eric Rogers, Ann-Marie Hughes, Emma Hallewell, Jane H. Burridge:
Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect. ICORR 2013: 1-6 - [c36]Katie L. Meadmore, Timothy Exell, Christopher T. Freeman, Mustafa Çagri Kutlu, Eric Rogers, Ann-Marie Hughes, Emma Hallewell, Jane H. Burridge:
Electrical stimulation and iterative learning control for functional recovery in the upper limb post-stroke. ICORR 2013: 1-5 - 2012
- [j9]Liuping Wang, Shan Chai, Eric Rogers, Chris T. Freeman:
Multivariable Repetitive-Predictive Controllers Using Frequency Decomposition. IEEE Trans. Control. Syst. Technol. 20(6): 1597-1604 (2012) - [c35]Oliver Brend, Christopher T. Freeman, Mark French:
Application of multiple model adaptive control to upper limb stroke rehabilitation. CCA 2012: 69-74 - [c34]Ron J. L. M. Verstappen, Christopher T. Freeman, Eric Rogers, Trish Sampson, Jane H. Burridge:
Robust higher order repetitive control applied to human tremor suppression. ISIC 2012: 1214-1219 - [c33]Thanh Van Dinh, Christopher T. Freeman, Paul L. Lewin, Ying Tan:
Assessment of gradient-based point-to-point ILC for MIMO systems with varying interaction. ISIC 2012: 1220-1225 - [c32]Anna Izabela Soska, Christopher T. Freeman, Eric Rogers:
ILC for FES-based stroke rehabilitation of hand and wrist. ISIC 2012: 1267-1272 - [c31]Pawel Grzegorz Dabkowski, Krzysztof Galkowski, Eric Rogers, Zhonglun Cai, Christopher T. Freeman, Paul L. Lewin, Zdenek Hurák, Anton Kummert:
Experimentally verified Iterative Learning Control based on repetitive process stability theory. ACC 2012: 604-609 - [c30]Thanh Van Dinh, Christopher T. Freeman, Paul L. Lewin:
Development of a multivariable test facility for the evaluation of iterative learning controllers. ACC 2012: 621-626 - [c29]Christopher T. Freeman, Daisy Tong, Katie L. Meadmore, Ann-Marie Hughes, Eric Rogers, Jane H. Burridge:
FES based rehabilitation of the upper limb using input/output linearization and ILC. ACC 2012: 4825-4830 - [c28]Liuping Wang, Chris T. Freeman, Shan Chai, Eric Rogers:
Experimentally validated repetitive-predictive control of a robot arm with constraints. ACC 2012: 5495-5500 - [c27]David H. Owens, Chris T. Freeman, Thanh Van Dinh:
Intermediate point norm optimal iterative learning control. CDC 2012: 3954-3959 - [c26]Thanh Van Dinh, Chris T. Freeman, Paul L. Lewin, Ying Tan:
Convergence and robustness of a point-to-point iterative learning control algorithm. CDC 2012: 4678-4683 - 2011
- [j8]Ying Tan, Jian-Xin Xu, Mikael Norrlöf, Christopher T. Freeman:
On reference governor in iterative learning control for dynamic systems with input saturation. Autom. 47(11): 2412-2419 (2011) - [j7]Chris T. Freeman, Ying Tan:
Iterative learning control and repetitive control. Int. J. Control 84(7): 1193-1195 (2011) - [j6]Lukasz Hladowski, Krzysztof Galkowski, Zhonglun Cai, Eric Rogers, Chris T. Freeman, Paul L. Lewin:
A 2D systems approach to iterative learning control for discrete linear processes with zero Markov parameters. Int. J. Control 84(7): 1246-1262 (2011) - [j5]Chris T. Freeman, Zhonglun Cai, Eric Rogers, Paul L. Lewin:
Iterative Learning Control for Multiple Point-to-Point Tracking Application. IEEE Trans. Control. Syst. Technol. 19(3): 590-600 (2011) - [c25]Lukasz Hladowski, Krzysztof Galkowski, Eric Rogers, Zhonglun Cai, Christopher T. Freeman, Paul L. Lewin:
Iterative learning control for discrete linear systems with Zero Markov parameters using repetitive process stability theory. ISIC 2011: 400-405 - [c24]Zhonglun Cai, Douglas A. Bristow, Eric Rogers, Christopher T. Freeman:
Experimental implementation of iterative learning control for processes with stochastic disturbances. ISIC 2011: 406-411 - [c23]Fengmin Le, Ivan Markovsky, Christopher T. Freeman, Eric Rogers:
Online identification of electrically stimulated muscle models. ACC 2011: 90-95 - [c22]Chris T. Freeman, Ying Tan:
Point-to-point iterative learning control with mixed constraints. ACC 2011: 3657-3662 - 2010
- [j4]Eric Rogers, Gerwald Lichtenberg, David H. Owens, Herbert Werner, Chris T. Freeman, Paul L. Lewin, Stefan Kichhoff, Christian Schmidt:
Norm-Optimal Iterative Learning Control with Application to Problems in Accelerator-Based Free Electron Lasers and Rehabilitation Robotics. Eur. J. Control 16(5): 497-522 (2010) - [c21]David H. Owens, Bing Chu, Zhonglun Cai, Eric Rogers, Chris T. Freeman, Paul L. Lewin:
Modeling the Influence of Non-minimum Phase Zeros on Gradient Based Linear Iterative Learning Control. CCA 2010: 392-397 - [c20]Christopher T. Freeman, Paul L. Lewin, Eric Rogers, David H. Owens:
Iterative learning control of the redundant upper limb for rehabilitation. ACC 2010: 1278-1283 - [c19]Lukasz Hladowski, Krzysztof Galkowski, Zhonglun Cai, Eric Rogers, Chris T. Freeman, Paul L. Lewin:
Experimentally verified 2D systems theory based robust iterative learning control. ACC 2010: 3475-3480 - [c18]Muhammad Ali Alsubaie, Chris T. Freeman, Zhonglun Cai, Eric Rogers, Paul L. Lewin:
Iterative learning and repetitive controller design via duality with experimental verification. CDC 2010: 6961-6966 - [c17]Liuping Wang, Shan Chai, Chris T. Freeman, Eric Rogers:
On structure selection for multivariable repetitive-predictive controllers. CDC 2010: 6973-6978
2000 – 2009
- 2009
- [c16]Chris T. Freeman, Zhonglun Cai, Paul L. Lewin, Eric Rogers:
Objective-driven ilc for point-to-point movement tasks. ACC 2009: 252-257 - [c15]Lukasz Hladowski, Zhonglun Cai, Krzysztof Galkowski, Eric Rogers, Chris T. Freeman, Paul L. Lewin, Wojciech Paszke:
Repetitive process based iterative learning control designed by LMIs and experimentally verified on a gantry robot. ACC 2009: 949-954 - [c14]Christopher T. Freeman, Zhonglun Cai, Paul L. Lewin, Eric Rogers:
Iterative Learning Control for multiple point-to-point tracking. CDC 2009: 3288-3293 - [c13]Pawel Grzegorz Dabkowski, Krzysztof Galkowski, Eric Rogers, Zhonglun Cai, Christopher T. Freeman, Paul L. Lewin:
Iterative Learning Control based on strong practical stability of repetitive processes. CDC 2009: 4864-4869 - [c12]Christopher T. Freeman, Paul L. Lewin, Eric Rogers, James D. Ratcliffe:
Synchronisation of multi-axis automation processes using iterative learning control. ECC 2009: 1529-1534 - [c11]Fengmin Le, Ivan Markovsky, Christopher T. Freeman, Eric Rogers:
Identification of electrically stimulated muscle after stroke. ECC 2009: 1576-1581 - [c10]Christopher T. Freeman, Ann-Marie Hughes, Jane H. Burridge, Paul H. Chappell, Paul L. Lewin, Eric Rogers:
An upper limb model using FES for stroke rehabilitation. ECC 2009: 3208-3213 - 2008
- [j3]Chris T. Freeman, Paul L. Lewin, Eric Rogers, David H. Owens, Jari J. Hätönen:
An Optimality-Based Repetitive Control Algorithm for Discrete-Time Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(1): 412-423 (2008) - [c9]I. L. Davies, Chris T. Freeman, Paul L. Lewin, Eric Rogers, David H. Owens:
Newton method based iterative learning control of the upper limb. ACC 2008: 3887-3892 - [c8]Zhonglun Cai, Chris T. Freeman, Paul L. Lewin, Eric Rogers:
Experimental comparison of stochastic iterative learning control algorithms. ACC 2008: 4548-4553 - [c7]Lukasz Hladowski, Zhonglun Cai, Krzysztof Galkowski, Eric Rogers, Christopher T. Freeman, Paul L. Lewin:
Using 2D systems theory to design output signal based iterative learning control laws with experimental verification. CDC 2008: 3026-3031 - 2007
- [j2]Christopher T. Freeman, Paul L. Lewin, Eric Rogers:
Further results on the experimental evaluation of iterative learning control algorithms for non-minimum phase plants. Int. J. Control 80(4): 569-582 (2007) - [c6]Zhonglun Cai, Chris T. Freeman, Eric Rogers, Paul L. Lewin:
Reference Shift Iterative Learning Control for a Non-minimum Phase Plant. ACC 2007: 558-563 - [c5]Lukasz Hladowski, Krzysztof Galkowski, Eric Rogers, Paul L. Lewin, Christopher T. Freeman:
A new iterative learning control scheme for linear time-varying discrete systems. PSYCO 2007: 279-282 - 2006
- [j1]Jari J. Hätönen, Christopher T. Freeman, David H. Owens, Paul L. Lewin, Eric Rogers:
A Gradient-based Repetitive Control Algorithm Combining ILC and Pole Placement. Eur. J. Control 12(3): 278-292 (2006) - 2005
- [c4]Chris T. Freeman, Paul L. Lewin, Eric Rogers:
Discrete predictive optimal ILC implemented on a non-minimum phase experimental test-bed. ACC 2005: 282-287 - [c3]Christopher T. Freeman, Paul L. Lewin, Eric Rogers:
Robust ILC design using Möbius transformations. ICINCO 2005: 141-146 - 2004
- [c2]Jari J. Hätönen, Chris T. Freeman, David H. Owens, Paul L. Lewin, Eric Rogers:
Robustness analysis of a gradient-based repetitive algorithm for discrete-time systems. CDC 2004: 1301-1306 - [c1]Christopher T. Freeman, Paul L. Lewin, Eric Rogers, Jari J. Hätönen, Tom Harte, David H. Owens:
A Novel Repetitive Control Algorithm Combining ILC and Dead-Beat Control. ICINCO (3) 2004: 257-263
Coauthor Index
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