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—This paper presents a unifying framework for the problem of robust global regulation via output feedback for non-linear systems with integral input-to-state stable inverse dynamics, subject to possibly unknown control direction. The contribution of the paper is twofold. Firstly, we consider the problem of global regulation, instead of global asymptotic(More)
— A frame work of dissipativity theory for switched systems using multiple storage functions and multiple supply rates is set up. The exchange of " energy " between the activated subsystem and an inactivated subsystem is characterized by cross supply rates. Stability is reached when all supply rates are non-positive, as long as the total exchanged energy(More)
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback system using radial basis function (RBF) neural networks (NN). An ISS-modular approach is presented by combining adaptive neural design with the backstepping method, input-to-state(More)
for the "nancial support during his stay in Sydney University for his sabbatical leave in 1998. Abstract This paper describes an application of nonlinear decentralized robust control (Guo, Jiang & Hill, 1998) to large-scale power systems. Decentralized power controllers are designed explicitly to maintain transient stable closed-loop systems. For the "rst(More)