Nonlinear System Of Multi-objective Prediction Control Research

A large number of industtrial produce processes have inherently nonlinear, Thus, theresearch on nonlinear predictive control has become an important issue in control field.The core of the algorithm is that it can predict the dynamic model of the future, onlineoptimization calculation repeatedly and scroll through the implementation of the controlrole model error feedback correction. The process model predictive control has theadvantage of good control effect and robustness.It can be effectively overcome theuncertainty of the process, nonlinear and parallel and easily charged with variousconstraints variable and manipulated variable. The following is the research content of thisarticle:Studying with constrained nonlinear delay singular systems robust predictive controlproblem, I consider about the system piecewise continuous generalized system usingLyapunov stability theory and linear matrix inequalities method approximate solution tothe optimization problem of the infinite horizon, and get every sampling period, the inputconstraints under the state feedback controller exists sufficient condition and the explicitexpression analysis of the closed-loop descriptor systems, pulse mode and asymptoticstability, given the type of robust predictive The control algorithm. The last numericalexamples show that the effectiveness of the control method.Discuss the multi-target predictive control module hierarchical predictive control,multi-target prediction of nonlinear systems control algorithm to reduce the amount ofcomputation, and genetic algorithm based on the target of the importance of targethierarchical sub-module child the goal which is weighted to solve multi-objectivepredictive control problem.Study nonlinear singular time-delay system robust predictive control with robustguaranteed performance predictive control problem. To consider the of nonlinearperturbations links Singular System, robust controller design using linear matrixinequalities method with robust guaranteed cost controller. Nonlinear uncertain functionssatisfy the Lipschitz condition, linear matrix inequalities can borrow, given a sufficientcondition of nonlinear system robust predictive controller, robust guaranteed performanceprediction controller. Finally, an example illustrates the effectiveness of the given method.