Adaptive cautious predictive controller for real-time implementation

Jianjun Shi*, Daniel W. Apley

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publicationDynamic Systems and Control (Vol 1 of 2)
PublisherASME
Pages167-174
Number of pages8
Volume55-1
StatePublished - Dec 1 1994
EventProceedings of the 1994 International Mechanical Engineering Congress and Exposition - Chicago, IL, USA
Duration: Nov 6 1994Nov 11 1994

Other

OtherProceedings of the 1994 International Mechanical Engineering Congress and Exposition
CityChicago, IL, USA
Period11/6/9411/11/94

ASJC Scopus subject areas

  • Software
  • Mechanical Engineering

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