Decentralized control has been popular very much because of its very good results in several tasks of control of multidimensional systems. Adaptation enlarges the area of the usage especially in the case that standard controllers with fixed parameters are unsatisfactory. Last year we have introduced a new approach based on a modified tuning method based on a combination of one-dimensional self-...

This paper proposes a design method of self-tuning generalized minimum variance control based on ondemand type feedback controller. A controller, such as generalized minimum variance control (GMVC), generalized predictive control (GPC) and so on, can be extended by using coprime factorization. Then new design parameter is introduced into the extended controller, and the parameter can re-design ...

in this study, a new approach for control (treatment) of AIDS based on patient entry drug. One of the main problems related to AIDS, is lack of control, lack of identification and early treatment of this disease. Today physicians more than anything, control the disease relying on their experience and knowledge and time-consuming and complex experiments, nevertheless, human errors are inevitable...

this paper presents a new control method for a three-phase four-wire unified power quality conditioner (upqc) to deal with the problems of power quality under distortional and unbalanced load conditions. the proposed control approach is the combination of instantaneous power theory and synchronous reference frame (srf) theory which is optimized by using a self-tuning filter (stf) and without us...

| This paper reports on results and experiences from the COMFORT automatic tuning project. The objective of the project has been to investigate architectural principles of self-tuning database and transaction processing systems, and to develop self-tuning methods for speciic performance tuning problems. A particular concern of the project has been to cope with workload dynamics and workload het...

In this paper, a novel design method for self-tuning PID controller of in mechanisms system using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO to search efficiently the optimal PID controller parameters of in mechanisms system. The proposed approach had superior features, including easy implementation, stable convergence c...

This paper is focused on a design of an algorithm for decoupling multivariable systems based on generalized predictive control (DGPC) and its application to a control of an incubator system. Proposed control algorithm uses adaptive error weighting factor in cost function in order to reduce coupling between control loops. Two techniques are presented and compared for predictive control of TITO (...

This paper mainly deals with the controller design for a class of networked control system (NCS) with the presence of networkinduced delay and data packet dropout. Aiming at the stochastic and time-varying characteristics of delay and dropout, a NCS model with uncertain linear parameters was established by converting the uncertainties of delay and dropout into the uncertainties of the coefficie...

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...