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Performance improvements of self-tuning controllers by multistep horizons: The MUSMAR approach. (English) Zbl 0577.93039
This paper contains a review of the multistep multivariable adaptive regulator (MUSMAR) approach to adaptive regulation. Multivariable linear systems and quadratic cost functionals, defined over an horizon of arbitrary length, are considered. Preliminary theoretical results are presented, showing that the MUSMAR has some advantages over adaptive regulators of similar computational complexity. A large number of simulated and real-life numerical applications are included to demonstrate the potential advantages of the MUSMAR.
Reviewer: P.Stoica

93C40 Adaptive control/observation systems
93C35 Multivariable systems, multidimensional control systems
93E25 Computational methods in stochastic control (MSC2010)
65C99 Probabilistic methods, stochastic differential equations
68Q25 Analysis of algorithms and problem complexity
93E10 Estimation and detection in stochastic control theory
93C05 Linear systems in control theory
Full Text: DOI
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