23 research outputs found
Robust mixed H-2/H∞ control for a class of nonlinear stochastic systems
The problem of mixed H2/H∞ control is considered for a class of uncertain discrete-time nonlinear stochastic systems. The nonlinearities are described by statistical means of the stochastic variables and the uncertainties are represented by deterministic norm-bounded parameter perturbations. The mixed H2/H∞ control problem is formulated in terms of the notion of exponentially mean-square quadratic stability and the characterisations of both the H2 control performance and the H∞ robustness performance. A new technique is developed to deal with the matrix trace terms arising from the stochastic nonlinearities and the well-known S-procedure is adopted to handle the deterministic uncertainities. A unified framework is established to solve the addressed mixed H2/H∞ control problem using a linear matrix inequality approach. Within such a framework, two additional optimisation problems are discussed, one is to optimise the H∞ robustness performance, and the other is to optimise the H2 control performance. An illustrative example is provided to demonstrate the effectiveness of the proposed method.This work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) of the UK under Grant GR/S27658/01, the Nuffield Foundation of
the UK under Grant NAL/00630/G and the Alexander von Humboldt Foundation of Germany, the National Natural Science Foundation of China under Grant 60474049 and the Fujian provincial Natural Science Foundation of China under Grant A0410012
A new algorithm for an eigenvalue assignment problem from singular control theory
10.1109/TAC.2002.800665IEEE Transactions on Automatic Control4771163-1167IETA
Infinite eigenvalue assignment for singular systems
Linear Algebra and Its Applications2981-321-37LAAP
Computation of the (j, j′)-lossless factorization for general rational matrices
10.1137/040609136SIAM Journal on Control and Optimization441240-267SJCO
Necessary and sufficient conditions for the output feedback regularization of descriptor systems
10.1109/9.746277IEEE Transactions on Automatic Control442405-412IETA