Оптимальное гарантирующее управление запасами в цепях поставок с неопределенными временными задержками

Предложен подход к решению задачи синтеза управления запасами для производственных систем с неопределенными задержками пополнения запасов в условиях действия неизвестного, но ограниченного внешнего спроса и наличия ограничений на размеры заказов. Использование второго метода Ляпунова и метода инвариантных эллипсоидов позволило обеспечить робастную устойчивость замкнутой системы, а также гарантированную стоимость полученного управления. С помощью математического аппарата линейных матричных неравенств задача синтеза регулятора сведена к задаче полуопределенного программирования

Оптимальное гарантирующее управление запасами в цепях поставок с неопределенными временными задержками

Предложен подход к решению задачи синтеза управления запасами для производственных систем с неопределенными задержками пополнения запасов в условиях действия неизвестного, но ограниченного внешнего спроса и наличия ограничений на размеры заказов. Использование второго метода Ляпунова и метода инвариантных эллипсоидов позволило обеспечить робастную устойчивость замкнутой системы, а также гарантированную стоимость полученного управления. С помощью математического аппарата линейных матричных неравенств задача синтеза регулятора сведена к задаче полуопределенного программирования

Non-fragile control for nonlinear networked control systems with long time-delay

AbstractThis paper considers the non-fragile control problem for uncertain nonlinear networked control systems (NCSs) with long time-delay and controller gain perturbations. Firstly, the NCS model with random long time-delay is transformed into a discrete-time system model with uncertain parameters. Then, the Lyapunov stability theory and the linear matrix inequality (LMI) approach are applied to design a non-fragile controller, which results in the closed-loop system being asymptotically stable and the system’s cost function value being less than a determinate upper bound. At the same time, the existence condition and the design approach of a non-fragile controller are presented. Finally, simulation examples are employed to verify the validity of the proposed control algorithm

Delay-Dependent Fuzzy Hyperbolic Model Based on Data-Driven Guaranteed Cost Control for a Class of Nonlinear Continuous-Time Systems with Uncertainties

This paper develops the fuzzy hyperbolic model with time-varying delays guaranteed cost controller design via state-feedback for a class of nonlinear continuous-time systems with parameter uncertainties. A nonlinear quadratic cost function is developed as a performance measurement of the closed-loop fuzzy system based on fuzzy hyperbolic model with time-varying delays. Some sufficient conditions for the existence of such a fuzzy hyperbolic model based on data-driven guaranteed cost controller via state feedback are presented by a set of linear matrix inequalities (LMIs). A simulation example is provided to illustrate the effectiveness of the proposed approach

Delay-Dependent Guaranteed Cost Controller Design for Uncertain Neural Networks with Interval Time-Varying Delay

This paper studies the problem of guaranteed cost control for a class of uncertain delayed neural networks. The time delay is a continuous function belonging to a given interval but not necessary to be differentiable. A cost function is considered as a nonlinear performance measure for the closed-loop system. The stabilizing controllers to be designed must satisfy some exponential stability constraints on the closed-loop poles. By constructing a set of augmented Lyapunov-Krasovskii functionals combined with Newton-Leibniz formula, a guaranteed cost controller is designed via memoryless state feedback control, and new sufficient conditions for the existence of the guaranteed cost state feedback for the system are given in terms of linear matrix inequalities (LMIs). Numerical examples are given to illustrate the effectiveness of the obtained result

Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays

The guaranteed cost control problem is studied in this paper for a class of uncertain linear discrete-time systems with both state and input delays and a given quadratic cost function. The uncertainty in the system is assumed to be norm-bounded and time-varying, The problem is to design a memoryless state feedback control law such that the closed-loop system is asymptotically stable and the closed-loop cost function value is not more than a specified upper bound for all admissible uncertainties. Sufficient conditions for the existence of such controllers are derived based on the linear matrix inequality (LMI) approach, a parametrized characterization of the guaranteed cost controllers (if they exist) is given in terms of the feasible solutions to a certain LMI, Furthermore, a convex optimization problem is formulated to select the optimal guaranteed cost controller which minimizes the upper bound of the closed-loop cost function. (C) 2001 Published by Elsevier Science Ltd. on behalf of The Franklin Institute