Robust Control TheoryRobust control originates with the need to cope with systems with modeling uncertainty. There have been several mathematical techniques developed for robust control system analysis. The articles in this volume cover all of the major research directions in the field. |
Contents
Does Rantzers convex direction theorem sound the death knell for | 21 |
Robust stabilization for lp gap perturbations | 55 |
Generalized H2H control | 81 |
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Algebra algorithm analysis B₁ block structure Bound scheme Branch and Bound causal closed loop complex computation condition consider Contr control problem controller reduction convex combination convex direction convex optimization convex program coprime coprime factorization defined denote directed gap Editors F₁ finite finite-dimensional given Hankel norm approximation Hankel singular values Hence IEEE Trans interval plant J. C. DOYLE Lemma linear lower bound minimum phase mixed µ multirate N₁ nest algebras Note NP hard obtained operator optimal Hankel norm optimization problem output p₁(s parameters performance perturbations po(s polynomial Proof quadratic R₁ reduced order reduction problem Riccati equation robust control robust stability s=jw satisfies scalar singular value solution solve space stabilizability stable polynomials state-feedback synthesis problem Theorem time-invariant time-varying systems topology transfer matrix uncertainty upper bound vertex results Volume W₁ weighted Hankel zeros