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Adaptive pole-placement control with filtered states and steady-state disturbance rejection. (English) Zbl 0664.93052

The paper proposes an algorithm for adaptive pole-assignment control using filtered state estimates for state feedback, instead of the traditional one-step prediction states. This results in the perturbation of the closed-loop zeros, in such manner as to ensure a significant reduction in the closed-loop output variance after pole assignment. The estimation and control algorithms are also modified to eliminate steady- state offsets to nonstationary disturbances.

MSC:

93C40 Adaptive control/observation systems
93B55 Pole and zero placement problems
62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH)
93C05 Linear systems in control theory
93C55 Discrete-time control/observation systems
93E11 Filtering in stochastic control theory
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