Main research contributions and achievements of this paper are as following: (1)Principle modeling approach are deeply analyzed and acquired based on Mixed Logic Dynamic (MLD). The transformation methods from prepositional logic to mixed integer inequality are studied and some strategies for reducing the number of integer variables are proposed. The relationship between other modeling approaches for hybrid system and MLD is analyzed which set a basis for making research other characters for hybrid based on the most suitable model frameworks. (2)The key techniques for model predictive control are studied. Predictive control for hybrid system with the adjustable performance and tracking performance based on mixed logic dynamic are researched. By analyzing the effects of weight matrix on controller's performance, a changeable weigh matrix predictive control based on MLD is presented. Through adjusting the parameters of α,β, the desired control result can be achieved by making tradeoff between rapidness and stability. Simulation results show the rationality and validity of the method. (3)Model predictive for MLD based on linear objection is studied. Compared with other linear objection, the 1-1 norm predictive control performance for MLD is presented. The controller's stability is also guaranteed by choosing the suitable terminal weight matrix. Simulation results show the validity of this algorithm. Controller's performance comparison with mixed integer linear programming and mixed integer quadratic programming is also analyzed. (4)Taking into account of the process disturbance and measure noise, closed loop model predictive control for MLD based on Moving Horizon State Estimation (MHE) is proposed. The algorithm provides an effective tool to estimate the system state and disturbance with constraints. Stability for MHE is also studied. (5)Aiming at the three tanks system of the QXLPC-III process control equipment, MLD principle model and predictive control algorithm is designed to keep each tank remain the desired level respectively. Application to the QXLPC-Ⅲ process control equipment is simulated successfully. The simulation tool for predictive control based on mixed programming technique between VC++ and Matlab is presented. (6)One of the Mixed Integer Programming's (MIP) solvers B&B is studied. Algorithm for solving the MIP based on Modified Genetic Algorithm (MGA) is proposed. Compared with B&B, MGA is intelligent global search strategy using the binary coding and float coding to represent each individual which is proved to be effective for the performances' analyzing or optimization and control of the hybrid system with lower real-time demand.
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