Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Fuzzy model based control: stability, robustness, and performance issues
IEEE Transactions on Fuzzy Systems
Brief Robust adaptive control of uncertain discrete-time systems
Automatica (Journal of IFAC)
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In this paper, we present a control methodology for a class of discrete time nonlinear systems that depend on a possibly exogenous scheduling variable. This class of systems consists of an interpolation of nonlinear dynamic equations in strict feedback form, and it may represent systems with a time-varying nonlinear structure. Moreover, this class of systems is able to represent some cases of gain scheduling control, Takagi-Sugeno fuzzy systems, as well as input-output realizations of nonlinear systems which are approximated via localized linearizations. We present two control theorems, one using what we call a ''global'' approach (akin to traditional backstepping), and a ''local'' approach, our main result, where backstepping is again used but the control law is an interpolation of local control terms. An aircraft wing rock regulation problem with varying angle of attack is used to illustrate and compare the two approaches.