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R. Russell Rhinehart
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2020 – today
- 2024
- [c18]R. Russell Rhinehart:
Linguistic Modeling: Validation, Improvement, and Uncertainty. ACC 2024: 3346-3351 - 2022
- [c17]Tariq Samad, Daniel Y. Abramovitch, Michael Lees, Iven Mareels, R. Russell Rhinehart, Francesco Cuzzola, Benny Grosman, Oleg Gusikhin, Esko Juuso, Bhagyesh V. Patil, Stefan Pickl:
Managerial Decision Making as an Application for Control Science and Engineering. ACC 2022: 3071-3081 - [c16]R. Russell Rhinehart:
A Heat Exchanger Simulator for Testing and Demonstrating Automation Algorithms. ACC 2022: 3789-3794 - 2020
- [j8]Tariq Samad, Margret Bauer, Scott A. Bortoff, Stefano Di Cairano, Lorenzo Fagiano, Peter Fogh Odgaard, R. Russell Rhinehart, Ricardo S. Sánchez Peña, Atanas Serbezov, Finn Ankersen, Philippe Goupil, Benyamin Grosman, Marcel Heertjes, Iven Mareels, Raye Abdoulie Sosseh:
Industry engagement with control research: Perspective and messages. Annu. Rev. Control. 49: 1-14 (2020) - [j7]Stephen M. Mayo, R. Russell Rhinehart, Sundar V. Madihally:
Optimization with uncertainty - A case study for controller recalibration. Comput. Chem. Eng. 139: 106901 (2020)
2010 – 2019
- 2015
- [c15]Suresh K. Jayaraman, R. Russell Rhinehart:
Modeling & control policy optimization of algae growth. ACC 2015: 1995-2000 - 2014
- [j6]Upasana Manimegalai-Sridhar, Anand Govindarajan, R. Russell Rhinehart:
Improved initialization of players in leapfrogging optimization. Comput. Chem. Eng. 60: 426-429 (2014) - [j5]R. Russell Rhinehart:
Convergence criterion in optimization of stochastic processes. Comput. Chem. Eng. 68: 1-6 (2014) - 2013
- [c14]R. Russell Rhinehart:
Automated steady and transient state identification in noisy processes. ACC 2013: 4477-4493 - [c13]Ting Huang, R. Russell Rhinehart:
Steady state and Transient State Identification for flow rate on a pilot-scale absorption column. ACC 2013: 4498-4503 - 2012
- [j4]R. Russell Rhinehart, Ming Su, Upasana Manimegalai-Sridhar:
Leapfrogging and synoptic Leapfrogging: A new optimization approach. Comput. Chem. Eng. 40: 67-81 (2012) - [c12]Haoxian Chen, R. Russell Rhinehart:
Incorporation of a generalized TSK model in nonlinear model predictive control. ACC 2012: 4130-4135 - 2010
- [j3]Ming Su, R. Russell Rhinehart:
A generalized TSK model with a novel rule antecedent structure: Structure identification and parameter estimation. Comput. Chem. Eng. 34(8): 1199-1219 (2010)
2000 – 2009
- 2009
- [j2]Ming Su, Gary G. Yen, R. Russell Rhinehart:
Ga-Based Time Series Models with Threshold in Two Domains. J. Circuits Syst. Comput. 18(4): 801-823 (2009) - [c11]Ming Su, R. Russell Rhinehart:
Assessment of linguistic dynamic cause-and-effect rules with delays. ACC 2009: 3549-3554 - [c10]Ming Su, R. Russell Rhinehart:
A novel rule antecedent structure and its identification for fuzzy models. ACC 2009: 4272-4277 - [c9]Ming Su, R. Russell Rhinehart:
Recursive estimation on spatially rearranged data for dynamic order determination and nonlinear component detection. ACC 2009: 4398-4403 - 2005
- [c8]Samuel O. Owusu, Qing Li, R. Russell Rhinehart:
Run length-based control performance monitors: a comparison between two techniques. ACC 2005: 1042-1047 - [c7]Venkatram Padmanabhan, R. Russell Rhinehart:
A novel termination criterion for optimization. ACC 2005: 2281-2286 - 2004
- [c6]Zhiqiang Gao, R. Russell Rhinehart:
Theory vs. practice: The challenges from industry. ACC 2004: 1341-1349 - [c5]Nitin Sharma, R. Russell Rhinehart:
Autonomous creation of process cause and effect relationships: metrics for evaluation of the goodness of linguistic rules. ACC 2004: 4511-4516 - [c4]S. Samir Alam, R. Russell Rhinehart, Karen A. High, Paul J. Gemperline:
On-line optimization of a batch reaction - development and experimental demonstration. ACC 2004: 4861-4866 - [c3]Samuel O. Owusu, R. Russell Rhinehart:
A controller performance monitor. ACC 2004: 5046-5051 - 2002
- [c2]Sandeep Chandran, R. Russell Rhinehart:
Heuristic random optimizer-version II. ACC 2002: 2589-2594 - 2000
- [c1]Mahesh S. Iyer, R. Russell Rhinehart:
A novel method to stop neural network training. ACC 2000: 929-933
1990 – 1999
- 1999
- [j1]Mahesh S. Iyer, R. Russell Rhinehart:
A method to determine the required number of neural-network training repetitions. IEEE Trans. Neural Networks 10(2): 427-432 (1999)
Coauthor Index
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