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In this paper, the inadequacies of the traditional variable gain control , to discuss the nonlinear systems , neutral systems with time-varying Markov parameters LPV system and complex system of continuous variable gain control problem , and were designed variable gain state feedback controller , Robust observer and dynamic output feedback controller L 2 -L ∞ filter . Typically, the control of the process of making the system through a variety of prior knowledge , we must first get a dynamic mathematical model of the system , the design of controllers for these models . Practical system , however , have a nonlinear, time-varying parameters , characteristics , which makes the design of the controller there is difficulty . The gain scheduling control methods , do not understand the control object accurate mathematical model conditions , can achieve the design of the system controller provides a new way to resolve the problem of the control of complex systems . This paper work done the following aspects: 1 for the uncertain system ( hyperchaotic , CSTR system , LPV system) , the use of the gradient linearization method to obtain a series of typical operating point , local time near linear model designed H ∞ state feedback controller and optimal state feedback controller Min- Max and Min-Max optimal dynamic output controller , and finally by the Taylor series fitting , continuous scheduling controller . 2 for uncertain time delay CSTR system with actuator saturation , design a continuous gain H ∞ observer . 3 for the time-varying parameters Markov neutral system based on exponential stability theory , design a continuous variable gain the Robust H ∞ < / sub> controller, and L 2 < / sub > -L ∞ < / sub> filters .
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