The problem of a robust control system design for interconnected systems with structural and parametrical uncertainty was solved for the case where derivatives of input and output parameters cannot be measured. The order of the mathematical model may change over time. Operability of the designed control systems in the case of non-measurable and bounded disturbances acting on the controlled plan...

For a large class of discrete-time multivariable plants with arbitrary relative degrees, the design and analysis of the direct model reference adaptive control scheme are investigated under less restrictive assumptions. The algorithm is based on a new parametrization derived from the high frequency gain matrix factorizationKp = LDU under the condition that the signs of the leading principal min...

this paper describes an optimal design for multivariable pi controller with a high gain structure for an irregular system by genetic algorithm. pi controllers with a high gain structure leads to the asymptotic decomposition of the fast and slow modes in the closed loop system that have unique characteristics. the slow modes are asymptotically uncontrollable and unobservable; therefore, they hav...

Identiiable parametrizations for direct adaptive control of linear multivariable plants, which assume exact knowledge of the systems observability indices and the full interactor, have been reported in the literature recently. The observability indices have no clear physical meaning, hence it is not obvious how they can be obtained in practical applications. Also, assuming the interactor is kno...

This paper presents a modeling and control method for thermal power plants having nonlinear dynamics varying with load. First a load-dependent exponential ARX (Exp-ARX) model that can effectively describe the plant nonlinear properties and requires only off-line identification is presented. The model is then used to establish a constrained multivariate multi-step predictive control (ExpMPC) str...

In today’s globally competitive marketplace, industrial plants are looking at new ways to increase plant efficiency, production rates, safety and reliability. Engineer education, training and plant optimization play a key role in satisfying technological, economical and environmental constraints. Furthermore, control system optimization is the basis for system improvement and advanced process c...