Robust control theory
Robust 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.
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Does Rantzers convex direction theorem sound the death knell for
Robust stabilization for p gap perturbations
Generalized HHoo control
4 other sections not shown
Algebra algorithm analysis approach Banach space block structure Bound scheme Branch and Bound causal closed loop complex computation condition consider constraint Control Theory controller design controller reduction convex combination convex optimization convex program coprime factorization defined denote directed gap discrete-time Editors error model reduction exists finite finite-dimensional formulae given Hankel norm approximation Hankel singular values Hence IEEE Trans infinite dimensional input interval plant iteration J. C. Doyle Lemma lower bound method minimum phase mixed fi problem nest algebras Note NP hard obtained operator optimal control optimal Hankel norm optimization problem paper parameters pi(s po(s Proof Proposition quadratic stabilization reduction problem Riccati equation robust control robust stability satisfies scalar solution solve space stabilizability stable polynomials state-feedback suboptimal H synthesis problem time-varying systems topology Transactions on Automatic transfer function transfer matrix upper bound vertex results Volume zeros