Abstract
An adaptive cautious predictive (ACP) control algorithm is presented for a class of nonlinear stochastic systems, which include linear adaptive control systems. By introducing a new long-range predictive control loss function, an easily implemented control law is derived in closed-form. The resulting control law is not only suitable for real-time implementation, but it also possesses caution in the sense that the error covariance matrix of the estimated states are taken into consideration. Consequently, the ACP controller exhibits good robustness with respect to system uncertainties. Simulation results are provided to demonstrate these properties.
Original language | English (US) |
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Title of host publication | Dynamic Systems and Control (Vol 1 of 2) |
Publisher | ASME |
Pages | 167-174 |
Number of pages | 8 |
Volume | 55-1 |
State | Published - Dec 1 1994 |
Event | Proceedings of the 1994 International Mechanical Engineering Congress and Exposition - Chicago, IL, USA Duration: Nov 6 1994 → Nov 11 1994 |
Other
Other | Proceedings of the 1994 International Mechanical Engineering Congress and Exposition |
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City | Chicago, IL, USA |
Period | 11/6/94 → 11/11/94 |
ASJC Scopus subject areas
- Software
- Mechanical Engineering