جستجوی مقالات مرتبط با کلیدواژه « کنترل تصادفی » در نشریات گروه « برق »

This paper investigates asynchronous controller design problem for a class of continuous-time Markov jump linear systems. The mentioed asynchronous phenomenon is a case in which the system and the controller Markov chainsare not matched, however they are relevant according to certain probabilities. This phenomenon describes a realistic and practical situation which arises as a result of inaccurate observation of the system’s Markov chain. The proposed design scheme considers the closed-loop system as a unified Markov jump linear system and utulizes the multiple Lyapunov function approach. By this approach, firstly, the stabilizability of the closed-loop system is ensured and then the asynchronous state-feedback controller is synthesizesed. The designed controller is formulated in terms of linear matrix inequalities; which are easy to check. A numerical example illustrates the usefulness of the developed method.

In this paper، a survey on applications of estimation theory، identification and stochastic control in industrial systems is presented. Identification، parameter and state estimation of a dynamical system and stochastic control are three important and applicable fields in industry. Several fields are discussed in this paper containing، leak detection in fluid pipelines، maneuvering target tracking، Active Queue Management (AQM) in communication networks، applications of stochastic modeling and control in medical and health issues، disease infection and control، dosage regimen design، and disease modeling and treatment. In addition، covariance assignment of dynamical systems’ states، quantum systems، localization، identification and stochastic control of robots، and also applications of estimation theory in navigation systems are reviewed. Furthermore، estimation، identification and stochastic control of electrical motors، and traffic control in Intelligent Transportation Systems (ITS) are investigated. Finally، chaotic systems control، synchronization، estimation، and identification are studied.