Acta Automatica Sinica

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	Latest issue 2013 Vol.39 (Number 5) May 20, 2013
	目录
	前言
	Papers and Reports
	Brief Papers

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		contents
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		2013 Vol. 39 (5): 0-0 [Abstract ] ( 2 ) [HTML 0KB] [PDF 175KB ]( 2 )

前言

	469

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		2013 Vol. 39 (5): 469-470 [Abstract ] ( 3 ) [HTML 0KB] [PDF 533KB ]( 2 )

Papers and Reports

	471	TANG Jian, , CHAI Tian-You, , YU Wen and ZHAO Li-Jie
		On-line KPLS Algorithm with Application to Ensemble Modeling Parameters of Mill Load
		Industrial processes have the characters of strong nonlinearity, and soft sensor models constructed based on historical data have low generalization. Normally used moving window and sample recursive updating on-line modeling approach can not obtain a trad...
		2013 Vol. 39 (5): 471-486 [Abstract ] ( 1 ) [HTML 0KB] [PDF 2587KB ]( 2 )

	487	ZHAO Chun-Hui, LI Wen-Qing, SUN You-Xian and GAO Fu-Rong
		Multiple Local Reconstruction Model-based Fault Diagnosis for Continuous Processes
		In the present work, the multiplicity of fault characteristics is proposed and analyzed to improve the fault diagnosis performance. It is based on the following recognition that the underlying fault characteristics in general do not stay constant but will...
		2013 Vol. 39 (5): 487-493 [Abstract ] ( 2 ) [HTML 0KB] [PDF 2101KB ]( 3 )

	494	FAN Ji-Cong, WANG You-Qing, QIN S Joe and
		Combined Indices for ICA and Their Applications to Multivariate Process Fault Diagnosis
		As a development of principal component analysis (PCA) and factor analysis (FA), independent component analysis (ICA) has been applied effectively to multivariate process monitoring and fault diagnosis and has got many excellent achievements. Usually, ICA...
		2013 Vol. 39 (5): 494-501 [Abstract ] ( 4 ) [HTML 0KB] [PDF 2485KB ]( 3 )

	502	CHEN Xiao-Cen, , ZHOU Dong-Hua and CHEN Mao-Yin
		Decoupling Control of Gimbal Servo System of DGMSCMG Based on Dynamic Inverse System Method
		The gimbal servo-system of a double-gimbal magnetically suspended control moment gyroscope (DGMSCMG) is a complex system owing to its characteristics including multivariate, nonlinearity and strong gyroscopic coupling. This paper proposes a current-mode d...
		2013 Vol. 39 (5): 502-509 [Abstract ] ( 2 ) [HTML 0KB] [PDF 1005KB ]( 2 )

	510	CAI Xing, XIE Lei, SU Hong-Ye and GU Yong
		Distributed Model Predictive Control Based on Cascade Processes
		Distributed model predictive control (DMPC) is a useful control theme which is usually used to control large scale systems with multiple inputs and multiple outputs. Every agent communicates with the other in order to control the whole system. The algorit...
		2013 Vol. 39 (5): 510-518 [Abstract ] ( 3 ) [HTML 0KB] [PDF 1408KB ]( 2 )

	519	ZOU Tao, LI Hai-Qiang, DING Bao-Cang and WANG Ding-Ding
		Compatibility and Uniqueness Analyses of Steady State Solution for Multi-variable Predictive Control Systems
		The multi-variable control systems can be structurally classified into the square and non-square ones, with the latter further into fat and thin ones. For the fat and thin, the output offset and non-determinedness of the steady state input, respectively, ...
		2013 Vol. 39 (5): 519-529 [Abstract ] ( 2 ) [HTML 0KB] [PDF 1126KB ]( 2 )

	530	SI Xiao-Sheng, , HU Chang-Hua and ZHOU Dong-Hua
		Nonlinear Degradation Process Modeling and Remaining Useful Life Estimation Subject to Measurement Error
		Remaining useful lifetime (RUL) estimation is a key issue in condition-based maintenance and prognostics and health management. In the literature about the RUL estimation based on degradation process modeling, the current methods only consider the cases i...
		2013 Vol. 39 (5): 530-541 [Abstract ] ( 2 ) [HTML 0KB] [PDF 1389KB ]( 2 )

	542	WANG Lu, LI Ning and LI Shao-Yuan
		Performance Monitoring of the Data-driven Subspace Predictive Control Systems Based on Historical Objective Function Benchmark
		In this paper, a historical objective function benchmark is proposed to monitor the performance of data-driven subspace predictive control systems. A new criterion for selection of the historical data set can be used to monitor the controller's performanc...
		2013 Vol. 39 (5): 542-547 [Abstract ] ( 3 ) [HTML 0KB] [PDF 1889KB ]( 3 )

	548	LIU Su, FENG Yi-Ping and RONG Gang
		Economic Performance Assessment of Decentralized Model Predictive Control
		In recent years, performance assessment of centralized model predictive control (MPC) has attracted a lot of academic interest. In fact, large-scale complex chemical processes are usually controlled by decentralized MPC in the industrial field. Due to the...
		2013 Vol. 39 (5): 548-555 [Abstract ] ( 1 ) [HTML 0KB] [PDF 653KB ]( 0 )

	556	ZHAO Da-Yong, CHAI Tian-You and
		Fuzzy Switching Control for Sump Level Interval and Hydrocyclone Pressure in Regrinding Process
		In the mineral regrinding process of hematite beneficiation, the sump level (SL) fluctuates frequently due to some large disturbances. The pump speed inevitably changes in a wide range by adopting the existing setpoint control method for sump level, and t...
		2013 Vol. 39 (5): 556-564 [Abstract ] ( 2 ) [HTML 0KB] [PDF 3254KB ]( 0 )

	565	SHI Jia, JIANG Qing-Yin, CAO Zhi-Kai, ZHOU Hua and GAO Fu-Rong
		Two-dimensional Model Predictive Iterative Learning Control Scheme Based on a Two-dimensional Performance Model
		By representing an iterative learning control (ILC) system as a two-dimensional system and using the philosophy of model predictive control (MPC) and performance model reference control, a two-dimensional performance model based model predictive iterative...
		2013 Vol. 39 (5): 565-573 [Abstract ] ( 1 ) [HTML 0KB] [PDF 1168KB ]( 0 )

	574	CHEN Zeng-Qiang, SUN Ming-Wei and YANG Rui-Guang
		On the Stability of Linear Active Disturbance Rejection Control
		This paper investigates the estimation ability of linear extended state observer (ESO) and the stability of the closed-loop system under the linear active disturbance rejection control (LADRC). The bounds of the estimation tracking errors for linear exten...
		2013 Vol. 39 (5): 574-580 [Abstract ] ( 2 ) [HTML 0KB] [PDF 557KB ]( 0 )

	581	HUANG Miao, WANG Xin and WANG Zhen-Lei
		Multiple Models Adaptive Control Based on Time Series for a Class of Nonlinear Systems
		For a class of nonlinear discrete time systems, a multiple models adaptive controller (MMAC) based on time series is proposed. It uses clustering method to establish some linear local models, utilizes time series and directional derivative to establish a ...
		2013 Vol. 39 (5): 581-586 [Abstract ] ( 1 ) [HTML 0KB] [PDF 1025KB ]( 0 )

	587	CHEN Jun, GAO Ze-Feng and LIU Fei
		Stochastic Stabilization for a Class of Fuzzy Bilinear Jump Systems
		This paper deals with the problem of stochastic stabilization for a class of fuzzy bilinear systems with Markovian jump parameters. The Takagi-Sugeno (T-S) fuzzy modeling technique is adopted to construct a fuzzy bilinear jump model. By means of the paral...
		2013 Vol. 39 (5): 587-593 [Abstract ] ( 2 ) [HTML 0KB] [PDF 886KB ]( 1 )

	594	LIU Yue and MA Shu-Ping
		A Singular System Approach to Output Feedback Sliding Mode Control for Time-delay Systems
		In this paper, the static output feedback sliding mode control for time-delay systems is discussed based on a singular system approach. First, the sliding mode dynamics and the linear switching surface are treated as a singular time-delay system. Based on...
		2013 Vol. 39 (5): 594-601 [Abstract ] ( 1 ) [HTML 0KB] [PDF 661KB ]( 0 )

	602	LIU Yi, JIN Fu-Jiang and GAO Zeng-Liang
		Online Identification of Time-varying Processes Using Just-in-time Recursive Kernel Learning Approach
		An online identification method using just-in-time recursive kernel learning (KL) is proposed to trace the time-varying characteristics of nonlinear chemical processes. For each query sample, a just-in-time kernel learning (JITL) model is established usin...
		2013 Vol. 39 (5): 602-609 [Abstract ] ( 2 ) [HTML 0KB] [PDF 1249KB ]( 0 )

	610	ZHANG Zi-Zhen, and YANG Hui-Zhong
		Hopf Bifurcation in a Delayed Predator-prey System with Modified Leslie-Gower and Holling-type III Schemes
		In this paper, we consider a predator-prey system with modified Leslie-Gower and Holling type III schemes. By regarding the time delay as the bifurcation parameter, the local asymptotic stability of the positive equilibrium is investigated. And we find th...
		2013 Vol. 39 (5): 610-616 [Abstract ] ( 1 ) [HTML 0KB] [PDF 1310KB ]( 0 )

	617	SU Chong and LI Hong-Guang
		Approaches to Affective Computing and Learning towards Interactive Decision Making in Process Control Engineering
		Numerous multi-objective decision-making problems related to industrial process control engineering such as control and operation performance evaluation are being resolved through human-computer interactions. With regard to the problems that traditional i...
		2013 Vol. 39 (5): 617-625 [Abstract ] ( 1 ) [HTML 0KB] [PDF 2318KB ]( 0 )

Brief Papers

	626	LIU Lin-Lin, ZHOU Li-Fang, JI Ting and ZHAO Yu-Hong
		Research on Model Switching Method of Multi-hierarchical Model Predictive Control System
		Based on analysis of the influence of different channels with different degrees of nonlinearity on the layer switching, and model switching between the layers on the dynamic performances, a model switching method is proposed. The simulation results of a p...
		2013 Vol. 39 (5): 626-630 [Abstract ] ( 2 ) [HTML 0KB] [PDF 626KB ]( 3 )

	631	JIANG Ya-Li, ZOU Yuan-Yuan, and NIU Yu-Gang
		Explicit Model Predictive Control for Multi-rate Piecewise Linear Systems
		This paper studies the explicit model predictive control for piecewise linear (PWL) systems with the output sampling period several times larger than the input updating period. First, based on dynamic programming, the model predictive control optimization...
		2013 Vol. 39 (5): 631-636 [Abstract ] ( 1 ) [HTML 0KB] [PDF 700KB ]( 0 )

	636	KONG Xiao-Bing and LIU Xiang-Jie
		Nonlinear Model Predictive Control for DFIG-based Wind Power Generation
		Reliable control of the doubly fed induction generator (DFIG) is necessary to ensure high efficiency and high load-following capability in the operation of modern wind power plant. It is often difficult for conventional linear controllers to achieve this ...
		2013 Vol. 39 (5): 636-643 [Abstract ] ( 3 ) [HTML 0KB] [PDF 2501KB ]( 0 )

	644	SU Cheng-Li, ZHAO Jia-Cheng and LI Ping
		Robust Predictive Control for a Class of Multiple Time Delay Uncertain Systems with Nonlinear Disturbance
		The design method of robust model predictive controller (RMPC) is proposed for a class of uncertain multiple state and input time-delay systems with nonlinear disturbance. Based on the predictive control principle of receding optimization, the quadratic p...
		2013 Vol. 39 (5): 644-649 [Abstract ] ( 1 ) [HTML 0KB] [PDF 508KB ]( 1 )

	649	XIE Lei, FENG Hao and ZHANG Jian-Ming
		A New Approach to Performance Assessment Based on Initial-closed-system
		This article proposes a new approach to performance assessment based on initial-closed-system and minimum variance index. When the time delay of a process becomes shorter, assessment based on minimum variance index may draw a wrong conclusion, while the n...
		2013 Vol. 39 (5): 649-653 [Abstract ] ( 2 ) [HTML 0KB] [PDF 384KB ]( 0 )

	654	LI Da-Zi, JIAO Jun-Sheng, JIN Qi-Bing and GAO Yan-Chen
		Generalized Multivariable Control System Performance Assessment Based on Output Variance Limit
		This paper focuses on the multivariable control system performance assessment method under linear time-varying disturbance. Through dividing time varying disturbance into three types of constant disturbance, a weighted performance index is constructed and...
		2013 Vol. 39 (5): 654-658 [Abstract ] ( 1 ) [HTML 0KB] [PDF 1557KB ]( 0 )

	658	TIAN Xue-Min, SHI Ya-Jie and CAO Yu-Ping
		Real-time Performance Monitoring of MPC Based on Covariance Index Prediction
		Aiming at monitoring model predictive control performance real-timely by using process data, a covariance prediction error based performance monitoring method is proposed. On the basis of analyzing MPC optimal objective and control structure, a monitored ...
		2013 Vol. 39 (5): 658-663 [Abstract ] ( 1 ) [HTML 0KB] [PDF 668KB ]( 0 )

	664	ZHOU Ying-Jiang, WANG Li, and SUN Chang-Yin
		Global Asymptotic and Finite-time Stability for Nonlinear Systems
		In this paper, the problems of global asymptotic and finite-time stability of a class of nonlinear systems are considered. The control law is designed in the following three steps: First, the full matrix form nonlinear system is divided into a lower-trian...
		2013 Vol. 39 (5): 664-672 [Abstract ] ( 2 ) [HTML 0KB] [PDF 342KB ]( 0 )

	672	SUN Yong, , ZHANG Mao-Rui and LIANG Xiao-Ling
		Improved Gauss Pseudospectral Method for Solving Nonlinear Optimal Control Problem with Complex Constraints
		An improved Gauss pseudospectral method (IGPM) is proposed to solve the nonlinear optimal control problem with complex constraints, which is difficult to get the analytical solution. Traditional methods can hardly solve these problems by getting some para...
		2013 Vol. 39 (5): 672-678 [Abstract ] ( 1 ) [HTML 0KB] [PDF 434KB ]( 0 )

	679	LUO Xiong-Lin, ZHOU Xiao-Long and WANG Shu-Bin
		Analysis of Constrained Optimal Control with Related Constraints of Input Variables
		The constraints of input and output variables commonly exist in the chemical process control. These constraints are high-low limits of input variable, input variable variation and output variable. For the requirement of process or control, there may be a ...
		2013 Vol. 39 (5): 679-689 [Abstract ] ( 2 ) [HTML 0KB] [PDF 1295KB ]( 0 )

	690	JIA Li, YANG Ai-Hua and CHIU Min-Sen
		Research on Multi-signal Based Neuro-fuzzy Hammerstein-Wiener Model
		In order to solve the control problem of complex systems, it is important to design a special structure model with data information to simplify the question of designing control system. Thus, a multi-signal based neuro-fuzzy Hammerstein-Wiener model is pr...
		2013 Vol. 39 (5): 690-696 [Abstract ] ( 2 ) [HTML 0KB] [PDF 1268KB ]( 0 )