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Predictive control of nonlinear systems subject to output and input constraints is considered. A fuzzy model is used to predict the future behavior. Two new ideas are proposed here. First, an added constraint on the applied control action is used to ensure the decrease of a quadratic Lyapunov function, and so guarantee Lyapunov exponential stability of the closed-loop system. Second, the feasibility of the finite-horizon optimization problem with the added constraints is ensured based on an off-line solution of a set of LMIs. The novel stability method is compared to the existing methods, such as the techniques based on the end-point constraints (terminal constraint set), and the robust stability techniques based on the small gain theory. The proposed method ensures Lyapunov exponential stability, does not need an auxiliary controller and can be used with any feasible controller parameters. Illustrative examples including the predictive control of a highly nonlinear chemical reactor (CSTR) are discussed.  相似文献   
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Nonlinear Dynamics - In this work, a high-fidelity nonlinear and time-periodic six degrees-of-freedom dynamic model of a flapping wing micro aerial vehicle has been developed. The model utilized...  相似文献   
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This paper describes a linear programming model for the operation of the Egyptian Coke Manufacturing Industry. The model incorporates all the activities of the industry and produces optimal levels of operation for all of them. Although the model is small, it has led to decisions indicating substantial savings in cost and effort.It has also revealed the problems this industry is bound to face in the near future and, hence, helps the management in assessing the solutions to these problems.  相似文献   
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Journal of the Operational Research Society - The problem of locating hospital departments so as to minimize the total distance travelled by patients can be formulated as a Quadratic Assignment...  相似文献   
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