| A fast integrated planning and control framework for autonomous driving via imitation learning L Sun, C Peng, W Zhan, M Tomizuka Dynamic Systems and Control Conference 51913, V003T37A012, 2018 | 106 | 2018 |
| Robust iterative learning control for vibration suppression of industrial robot manipulators C Wang, M Zheng, Z Wang, C Peng, M Tomizuka Journal of Dynamic Systems, Measurement, and Control 140 (1), 011003, 2018 | 51 | 2018 |
| Robust model predictive control under saturations and packet dropouts with application to networked flotation processes Y Tang, C Peng, S Yin, J Qiu, H Gao, O Kaynak IEEE Transactions on Automation Science and Engineering 11 (4), 1056-1064, 2013 | 43 | 2013 |
| Optimization-based constrained iterative learning control with application to building temperature control systems C Peng, L Sun, W Zhang, M Tomizuka 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2016 | 20 | 2016 |
| Global consensus of single‐integrator agents subject to saturation constraints Q Wang, C Peng, H Gao, M Basin IET Control Theory & Applications 8 (9), 765-771, 2014 | 18 | 2014 |
| Iterative design of feedback and feedforward controller with input saturation constraint for building temperature control C Peng, W Zhang, M Tomizuka 2016 American Control Conference (ACC), 1241-1246, 2016 | 15 | 2016 |
| Bayesian persuasive driving C Peng, M Tomizuka 2019 American Control Conference (ACC), 723-729, 2019 | 13 | 2019 |
| Constrained iterative learning control with pso-youla feedback tuning for building temperature control C Peng, L Sun, M Tomizuka IFAC-PapersOnLine 50 (1), 3135-3141, 2017 | 12 | 2017 |
| Distributed and cooperative optimization-based iterative learning control for large-scale building temperature regulation C Peng, L Sun, M Tomizuka 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2017 | 11 | 2017 |
| Optimization Based Control for Multi-agent System with Interaction C Peng University of California, Berkeley, 2019 | 6 | 2019 |
| Cooperative driving based on negotiation with persuasion and concession C Peng, M Tomizuka 2018 IEEE intelligent vehicles symposium (IV), 1118-1124, 2018 | 5 | 2018 |
| Compensating flexibility in servo systems using iterative learning control C Wang, Z Wang, C Peng, Y Zhao, M Tomizuka Dynamic Systems and Control Conference 57267, V003T40A001, 2015 | 4 | 2015 |
| Concurrent Design of Feedforward and Feedback Controller for Building Thermal System C Peng, M Tomizuka 2018 IEEE Conference on Decision and Control (CDC), 5257-5263, 2018 | 3 | 2018 |
| Delay‐Probability‐Distribution‐Dependent ℋ∞ FIR Filtering Design with Envelope Constraints C Peng, Z Yu, HR Karimi, W Wang, N Wang Mathematical Problems in Engineering 2013 (1), 930927, 2013 | | 2013 |
Masayoshi TomizukaMechaniccal Engineering, University of California在 me.berkeley.edu 的电子邮件经过验证
