Titlebook: Control of Uncertain Systems; Proceedings of an In Diederich Hinrichsen,Bengt M?rtensson Conference proceedings 1990 Springer Science+Busin

材料等

INERT

Some Preliminary Results on Connecting Identification and Robust Control,nds on the model estimator having the capacity to provide information on both the nominal model and the associated uncertainty. Most of the existing paradigms for estimation give emphasis to the estimation of the nominal model but do not address the uncertainty issue.

創(chuàng)造性

Adaptive Control of Time-Varying and Nonlinear Systems Using a Multi-Model Approach,bmodels. Each submodel describes the system at one operating condition. The parameters of the submodels have to be estimated on-line. A statistical test method is applied for the fast detection of parameter changes. For the design of the self-tuning controller an LQG-approach has been applied.

蛤肉

Robust Stabilization and Disturbance Rejection for Uncertain Systems by Decentralized Control,cati-like algebraic equation. A convexity property of a matrix Riccati function is used to compute for the closed-loop system an ..-norm bound smaller than the predetermined bound, and to find an enlarged admissible set of plant uncertainities.

MITE

https://doi.org/10.1007/978-3-662-29503-8f associated bilinear control systems. The well developed theory of Lyapunov exponents for stochastic systems provides the background for the discussion of stability radii of systems excited by random noise. The example of the linear oscillator with uncertain restoring force is discussed in detail.

SLAY

finale

Stability Radii and Lyapunov Exponents,f associated bilinear control systems. The well developed theory of Lyapunov exponents for stochastic systems provides the background for the discussion of stability radii of systems excited by random noise. The example of the linear oscillator with uncertain restoring force is discussed in detail.

Throttle

Adaptive Control of a Family of Plants,own that a switching mechanism can be used to find the correct LTI controller; furthermore, each LTI controller need only be tried once. This kind of problem often arises in an industrial setting, and is often approached using heuristic “gain-scheduling” techniques.

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