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A model-based control design method is developed for nonlinear reactive sputter processes that can be modelled by a nonlinear ordinary differential equation with linear input and stable and unstable equilibrium states. The controller shall robustly stabilize the unstable working points. Lyapunov's direct method is used to formulate stability conditions that respect possible uncertainties in the process...
In this paper, we present a fuzzy observer based fuzzy control scheme for nonlinear processes. The observer and the controller are built by "fuzzily interconnecting" local linear Lu-enberger observers and linear controllers. The approach uses techniques of robust control along with piecewise quadratic lyapunov functions, to show the global stability of observer + controller + process. In...
In systems with deterministic and constant delay Smith predictor offers a very efficient method for compensating dead-time. However, it is vulnerable to model uncertainties and parameter changes, in particular to delay variations. In this paper, we provide an alternative solution for compensating dead-time in systems with uncertain and time-varying delay. Two compensator structures are proposed -...
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