The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The paper presents the algorithm in robust constrained model predictive control for uncertain piecewise affine with time-invariant state-delay system using saturated linear feedback controller. Polytopic uncertain piecewise affine with time-invariant state-delay system is considered, and polytopic description for saturated function is used in the formulation. The robust performance index is presented...
In this paper, a robust fuzzy model predictive control (MPC) scheme is presented for a class of discrete-time nonlinear systems which can be described by uncertain T-S fuzzy models subject to actuator saturation. The system uncertainties under consideration are assumed to be time-varying and norm-bounded. A sufficient condition of minimizing upper bound of the cost function and asymptotical stability...
In this paper, a new output feedback robust model predictive controller (RMPC) for polytopic uncertain systems is developed using quasi min-max algorithm. The new formulation involves using an augmented system description based on state estimates and uncertain estimation errors. The design method yields new linear matrix inequality conditions for the augmented system, which guarantee the robust stability...
This paper considers robust model predictive control for systems with polytopic uncertainty and bounded disturbance, where the system state is unmeasurable, and the model at the current sampling time is an exact combination of the vertices of the polytope. A parameter-dependent dynamic output feedback is used for this problem. At each sampling time, the optimization problems can be solved via LMI...
An observer-based robust predictive control algorithm for singular systems with convex polytopic uncertainties is presented by linear matrix inequality formulation. By constructing the Lyapunov function with the error term, the infinite time domain dasiamin-maxpsila optimization problems are converted into linear programming problems, the sufficient conditions for the existence of observer-based robust...
This paper is concerned with the problem of robust model predictive control for discrete-time systems with packet losses. A stochastic process satisfying Bernoulli random binary distribution is utilized to model the packet losses, and a parameter dependent Lyapunov function is adopted to reduce the conservatism. The aim is to design a state feedback controller which minimizes an upper bound on a quadratic...
This paper considers a synthesis approach to dynamic output feedback robust model predictive control for systems with polytopic uncertainty and bounded disturbance/-noise. We consider the special case where the current model of the polytope is exactly known. The primary contribution is the formulation of the overall control problem into a single optimization problem solvable via LMI techniques. By...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.