Parameter adaptive control of multivariable systems
暂无分享,去创建一个
Abstract Model reference adaptive controllers for multivariable plants are designed using only input and output signals rather than the complete state vector. The design is based on Liapunov's direct method, and the Meyer-Kalman-Yacubovich lemma. State variable filters are employed to avoid differentiating output signals. Augmented error signals are used in deriving stable adaptive control laws which assure that the normally used response error signals approach zero asymptotically.
[1] R. Kálmán. LYAPUNOV FUNCTIONS FOR THE PROBLEM OF LUR'E IN AUTOMATIC CONTROL. , 1963, Proceedings of the National Academy of Sciences of the United States of America.
[2] P. Parks,et al. Liapunov redesign of model reference adaptive control systems , 1966 .
[3] K. Narendra,et al. Frequency Domain Criteria for Absolute Stability , 1973 .