The paper addresses the problem of design stable robust model predictive controller with hard input constraints in the frequency domain. Numerical results are given to illustrate the effectiveness of the proposed method.

Model predictive control (MPC) is a well-known control technique, which has been applied to complex and nonlinear processes. In order to incorporate fuzzy goals and constraints in model predictive control, MPC have recently been integrated with fuzzy decision making. Conventionally, the fuzzy optimization problem in such a setting is defined as the simultaneous satisfaction of the constraints a...

We study optimal control problems for partial differential equations (focusing on the multidimensional differential equation) with control functions in the Dirichlet boundary conditions under pointwise control (and we admit state – by assuming weak hypotheses) constraints.

A Generalized Minimum Variance control law is derived for the control of nonlinear, possibly time-varying multivariable systems. The solution for the control law is original and was obtained in the time-domain using a simple operator representation of the process. The quadratic cost index involves both error and control signal costing terms. The controller obtained is simple to implement and in...

A unified robust multivariable approach to propulsion control design has recently been developed at National Aeronautics and Space Administration (NASA) Glenn Research Center (GRC). The critical elements of this unified approach are 1) a robust H-infinity control synthesis formulation; 2) a simplified controller scheduling scheme; and 3) a new approach to the synthesis of integrator windup prot...

Two multivariable inferential feed-forward control strategies are proposed in this paper. In the first strategy, the effects of disturbances on the primary process variables are inferred from uncontrolled secondary process variables that are measured on-line. In the second approach, the effects of disturbances on the primary process variables are inferred from the manipulated variables for thos...

In this paper a well-known adjoint SISO Repetitive Control algorithm is extended to the multivariable case and its convergence properties are analysed. The new adjoint algorithm is validated using a simulation of an experimental facility consisting of a passive Naval vibration isolation mount that is combined with six active control channels located in a Stewart platform style arrangement. The ...

We consider the application of a recently developed “conditional integrator” technique for the output regulation of a class of nonlinear systems to process control systems. For a special choice of the controller parameters, our controller reduces to a finely tuned saturated PI/PID type controller with an anti-windup structure. This is of particular significance because while the application of ...

Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning methods of the PID controllers used for the system. In this paper, fuzzy logic was used to t...