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Lin W.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Lian Z.,Shanghai Dianji University | Gu X.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Jiao B.,Shanghai Dianji University
Mathematical Problems in Engineering | Year: 2014

Particle swarm optimization algorithm (PSOA) is an advantage optimization tool. However, it has a tendency to get stuck in a near optimal solution especially for middle and large size problems and it is difficult to improve solution accuracy by fine-tuning parameters. According to the insufficiency, this paper researches the local and global search combine particle swarm algorithm (LGSCPSOA), and its convergence and obtains its convergence qualification. At the same time, it is tested with a set of 8 benchmark continuous functions and compared their optimization results with original particle swarm algorithm (OPSOA). Experimental results indicate that the LGSCPSOA improves the search performance especially on the middle and large size benchmark functions significantly. © 2014 Weitian Lin et al.


Song J.,Key Laboratory of Advanced Control and Optimization for Chemical Process | He S.,Anhui University | Liu F.,Jiangnan University | Niu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Ding Z.,University of Manchester
IET Control Theory and Applications | Year: 2016

This studies the infinite horizon optimal control problem for a class of continuous-time systems subjected to multiplicative noises and Markovian jumps by using a data-driven policy iteration algorithm. The optimal control problem is equivalent to solve a stochastic coupled algebraic Riccatic equation (CARE). An off-line iteration algorithm is first established to converge the solutions of the stochastic CARE, which is generalised from an implicit iterative algorithm. By applying subsystems transformation (ST) technique, the off-line iterative algorithm is decoupled into N parallel Kleinman's iterative equations. To learn the solution of the stochastic CARE from N decomposed linear subsystems data, an ST-based data-driven policy iteration algorithm is proposed and the convergence is proved. Finally, a numerical example is given to illustrate the effectiveness and applicability of the proposed two iterative algorithms. © The Institution of Engineering and Technology 2016.


Chen B.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Niu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Zou Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Jia T.,Shanghai Electrical Group Co.
Circuits, Systems, and Signal Processing | Year: 2013

In this work, a novel robust sliding-mode control (SMC) method has been provided for uncertain stochastic Markovian jumping systems subject to actuator degradation, such that the closed-loop system is globally asymptotically stable (with probability one). In the design of switching functions, a set of specified matrices are employed such that the connections among sliding surfaces corresponding to each mode are established. Then, a sliding-mode controller is synthesized to ensure the reachability of the specified switching surface despite actuator degradation and uncertainties. Finally, the simulation results illustrate the proposed method and the effectiveness. © 2012 Springer Science+Business Media, LLC.


Liu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Niu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Hu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process
International Journal of Systems Science | Year: 2014

In this work, the problem of sliding mode control is considered for a class of uncertain switched systems in which the data dropout may happen when the state information is transmitted from the sensor to the controller. Besides, the input matrix for each subsystem is not necessarily the same. First, a common sliding surface depending on dropout probability is constructed by means of a weighted sum approach of the input matrices. And then, a sliding mode controller based on the estimator of the lost signal is designed. It is shown that both the reachability of sliding surface and the stability of sliding mode dynamics can be guaranteed, simultaneously. Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed method. © 2013 Taylor & Francis.


Song J.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Niu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Zou Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process
Chinese Control Conference, CCC | Year: 2015

This paper investigates the uniformly ultimate boundedness (UUB) of an identifier-based adaptive dynamic programming (ADP) algorithm proposed in [7]. It is demonstrated that the estimation errors of weights in both critic and action networks are UUB during iteration learning. Moreover, a selection method on learning rates is also given. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.


Liu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Niu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Ho D.W.C.,City University of Hong Kong
Chinese Control Conference, CCC | Year: 2012

This paper considers the problem of sliding mode control (SMC) for a class of linear uncertain switched systems. In the controlled systems, it is not required that each subsystem model shares the same input channel, which is usually assumed in some existing works. By means of a transformation on input matrices, a single integral sliding surface is designed and the switching signals depending on the average dwell time are given. It is shown that the designed sliding mode controller can guarantee the reachability of the sliding surface. Moreover, the sliding motion on the specified integral sliding surface is exponentially stable under the designed switching signal. The efficiency of the proposed method is demonstrated by a simulation. © 2012 Chinese Assoc of Automati.


Chen B.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Niu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Zou Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process
IET Control Theory and Applications | Year: 2013

This study investigates the problem of sliding mode control for a class of stochastic Markovian jumping systems with partially known transition rate. A key feature in this work is to relax the requirement that all the elements in transition rate matrix are known, which does not always hold in actual applications. The finite set of modes is firstly divided into two parts, respectively, with known transitions rate and unknown one. Then, the sliding mode controller is designed to cope with the effect of partially known transition rate, in which two different robust terms are proposed, respectively, for the known and unknown modes. It is shown that both the reachability and asymptotic stability of sliding mode dynamics can be ensured by the present method, despite the partially known transition rate. Finally, numerical simulation results are given. © The Institution of Engineering and Technology 2013.


Cui Z.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Gu X.,Key Laboratory of Advanced Control and Optimization for Chemical Process
Mathematical Problems in Engineering | Year: 2014

The scheduling problems have been discussed in the literature extensively under the assumption that the machines are permanently available without any breakdown. However, in the real manufacturing environments, the machines could be unavailable inevitably for many reasons. In this paper, the authors introduce the hybrid flowshop scheduling problem with random breakdown (RBHFS) together with a discrete group search optimizer algorithm (DGSO). In particular, two different working cases, preempt-resume case, and preempt-repeat case are considered under random breakdown. The proposed DGSO algorithm adopts the vector representation and several discrete operators, such as insert, swap, differential evolution, destruction, and construction in the producers, scroungers, and rangers phases. In addition, an orthogonal test is applied to configure the adjustable parameters in the DGSO algorithm. The computational results in both cases indicate that the proposed algorithm significantly improves the performances compared with other high performing algorithms in the literature. © 2014 Zhe Cui and Xingsheng Gu.


Gao C.,East China University of Science and Technology | Ling Z.,East China University of Science and Technology | Ling Z.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Yuan Y.,East China University of Science and Technology
2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Proceedings | Year: 2011

With the rapid development of Internet of Things, smart home which regarded as one of the main application domains, obtained more and more people's attention. In this paper, the characteristics and disadvantages of smart home system are analyzed. Then a smart home system based on B/S(Browse/Server) module is introduced. Through publishing the household wireless sensor network data to the web page of a remote server, users can control the household devices conveniently and remotely. Its system architecture, hardware design and implementation approach are given. This system provides a more flexible and more convenient control for smart home system and is beneficial for the popularity and promotion of smart home system. © 2011 IEEE.


Liu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Niu Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process | Zou Y.,Key Laboratory of Advanced Control and Optimization for Chemical Process
International Journal of Control, Automation and Systems | Year: 2014

This paper considers the problem of sliding mode control for a class of uncertain switched systems subject to sector nonlinearities and dead-zone. In the control systems, each subsystem is not required to share the same input channel, which is usually assumed in the previous works. By employing a weighted sum of the input matrices, a common sliding surface is designed and the corresponding sliding mode dynamics is obtained. A switching signal based on the average dwell time strategy is further proposed to ensure the exponential stability of the sliding mode dynamics. Moreover, it is shown that the reachability of the specified sliding surface can be ensured despite the presence of actuator nonlinearity, parameter uncertainties and external disturbances. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method. © 2014 Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg.

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