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	1. Stability and stabilization of a Class of Nonlinear Networked Systems via Output Feedback
	SUN Jian
	Electrics, Communication and Autocontrol Technology 04 November 2014
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	Abstract:This paper is concerned with the design problem of stability and stabilization of a class of nonlinear networked systems via output feedback control. The nonlinearity is assumed to be global Lipschitz. An output feedback control strategy on the basis of a new state observer is proposed. Sufficient stability condition for the closed-loop system is derived using switched Lyapunov function approach. By solving some linear matrix inequalities, the observer gains and controller gains can be obtained. A numerical example is presented to illustrate the efficacy of the proposed method.
	TO cite this article:SUN Jian. Stability and stabilization of a Class of Nonlinear Networked Systems via Output Feedback[OL].[ 4 November 2014] http://en.paper.edu.cn/en_releasepaper/content/4616196


	2. MBPLS-Based Rail Vehicle Suspension System Fault Detection
	Xiukun Wei,Ying Guo,Limin Jia
	Electrics, Communication and Autocontrol Technology 12 March 2014
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	Abstract:The suspension system plays a crucial role of rail vehicles. The fault detection of the suspension system is an effective way to ensure the security, stable operation of rail vehicles. This paper concerns the fault detection issue of rail vehicle suspension systems with the extended form of Partial Least Squares(PLS), which is Multi-block Partial Least Squares (MBPLS). The signal information used in the fault detection is obtained from the SIMPACK and MATLAB co-simulation environment. In this paper, the typical primary spring and damper faults and secondary spring and damper faults are detected successfully using MBPLS. MBPLS is applied to the block data, and the statistical index and are used to monitor the performance of the suspension system. Compared with Dynamic Principal Component Analysis(DPCA), the effectiveness of the proposed approach is demonstrated by the simulation results for several fault scenarios of primary and secondary faults.
	TO cite this article:Xiukun Wei,Ying Guo,Limin Jia. MBPLS-Based Rail Vehicle Suspension System Fault Detection[OL].[12 March 2014] http://en.paper.edu.cn/en_releasepaper/content/4589938

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	3. An anti-windup design with guaranteed regions of stability for polytopic systems
	CHENG Peng,SUN Youxian
	Electrics, Communication and Autocontrol Technology 31 December 2013
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	Abstract:This paper presents an anti-windup compensation design for polytopic systems. A parameter-dependent anti-windup compensator is proposed to reduce the conservatism in correcting the possible saturation effect for LPV systems. Considering closed-loop performance within a guaranteed region of state space, stability conditions in LMI form are stated, by using quadratic functionals and a modified sector condition. Then the problem of the anti-windup compensation gain design is transformed into a LMI optimization problem. Numerical examples demonstrate the effectiveness of the proposed design approach.
	TO cite this article:CHENG Peng,SUN Youxian. An anti-windup design with guaranteed regions of stability for polytopic systems[OL].[31 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4577688


	4. State Estimation with Intermittent and Quantized Measurements
	ZHANG Heng,CHENG Peng,CHEN Jiming
	Electrics, Communication and Autocontrol Technology 26 December 2013
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	Abstract:This paper studies the state estimation issue for the linear system with intermittent and quantized measurements. The target of this paper is to design the quantization density $ho$ and the filter gain $L$ which can minimize the mean square error. From the analysis of package drop behaviour, we obtain the infimum of the quantization density $ho$. Under the assumption that covariance matrix is convergent, we can design the optimal filter gain $L$. Finally, an illustration example is shown to explain our results.
	TO cite this article:ZHANG Heng,CHENG Peng,CHEN Jiming. State Estimation with Intermittent and Quantized Measurements[OL].[26 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4577691


	5. Admissible conditions for T-S fuzzy descriptor systems via PDC and non-PDC control laws
	Lin Peng,Hu Gang
	Electrics, Communication and Autocontrol Technology 03 April 2013
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	Abstract:This admissible conditions (regular, impulse-free and stable) for a class of continuous-time Takagi-Sugeno (T-S) fuzzy descriptor systems areinvestigated. Based on a fuzzy Lyapunov function which is defined by fuzzily blending quadratic Lyapunov functions candidate, two sufficient admissible conditions for the closed-loop systems via parallel distributed compensation (PDC) and non-PDC feedback controller are proposed. By introducing relaxation matrix variables and descriptor matrix decomposition, the provided conditions can be obtained in terms of dilated Linear Matrix Inequalities (LMIs). Finally, a simulation example is given to illustrate the sufficiency of the proposed methods.
	TO cite this article:Lin Peng,Hu Gang. Admissible conditions for T-S fuzzy descriptor systems via PDC and non-PDC control laws[OL].[ 3 April 2013] http://en.paper.edu.cn/en_releasepaper/content/4535043


	6. Rigid Formation Control of MultipleNonholonomic Unicycles
	WANG Qin,TIAN Yuping
	Electrics, Communication and Autocontrol Technology 09 January 2013
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	Abstract:In this paper, a distributed feedback control strategyis proposed which drives the multiple nonholonomic unicycles to a desiredrigid formation in terms of the relative position measurement.The proposed control law which is based on the adaptive perturbation methodcan guarantee the globally asymptotic stability of the the equilibrium setcorresponding to the desired rigid formations, and the collision avoidance between neighboring realrobots. Simulation results are provided to illustrate theeffectiveness of the control algorithm.
	TO cite this article:WANG Qin,TIAN Yuping. Rigid Formation Control of MultipleNonholonomic Unicycles[OL].[ 9 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4512633


	7. Compensation-based consensus algorithm for discrete-time second-order multi-agent systems under communication delay
	Liu Chenglin
	Electrics, Communication and Autocontrol Technology 27 December 2012
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	Abstract:Consensus algorithm, which is constructed by introducing compensation on the neighboring agents' delayed states into the normal asynchronously-coupled consensusalgorithm, is proposed to solve the dynamical consensus problem of discrete-time second-ordermulti-agent systems with communication delay. By analyzing the consensus convergence of two coupled-agents according to frequency-domain analysis, we come to the conclusion that the compensation-based algorithm can endure higher communication delay than thesynchronously-coupled consensus algorithm. Based on linear fractional transformation and the small-gaintheorem, sufficient conditions are gained for discrete-time second-order multi-agent systems with communicationdelay under a general digraph. Simulation illustrates the correctness of the results.
	TO cite this article:Liu Chenglin. Compensation-based consensus algorithm for discrete-time second-order multi-agent systems under communication delay[OL].[27 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4509554


	8. Output-Feedback Regulation ofNonlinear Systems with iISS Inverse dynamics
	ZHAO Cong-Ran,XIE Xue-Jun
	Electrics, Communication and Autocontrol Technology 14 December 2012
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	Abstract:Thispaper further discusses the problem of output-feedback regulationfor more general nonlinear systems with integral input-to-statestability (iISS) inverse dynamics and unknown control direction. Byusing the adaptive backstepping method, an output feedbackcontroller is given to drive the output to the origin whilemaintaining other closed-loop signals bounded. A simulation exampleverifies the effectiveness of the control scheme.
	TO cite this article:ZHAO Cong-Ran,XIE Xue-Jun. Output-Feedback Regulation ofNonlinear Systems with iISS Inverse dynamics[OL].[14 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4502272


	9. Adaptive State-Feedback Stabilization for High-OrderStochastic Nonlinear Systems Driven by Noise of Unknown Covariance
	ZHAO Cong-Ran,XIE Xue-Jun
	Electrics, Communication and Autocontrol Technology 14 December 2012
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	Abstract:This paper further considers more general high-orderstochastic nonlinear system driven by noise of unknown covarianceand its adaptive state-feedback stabilization problem. A smoothstate-feedback controller is designed to guarantee that the originof the closed-loop system is globally stable in probability.
	TO cite this article:ZHAO Cong-Ran,XIE Xue-Jun. Adaptive State-Feedback Stabilization for High-OrderStochastic Nonlinear Systems Driven by Noise of Unknown Covariance [OL].[14 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4502275


	10. Adaptive Neural Control of Non-minimum Phase Switched Nonlinear System
	LONG Fei
	Electrics, Communication and Autocontrol Technology 22 August 2012
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	Abstract:In this paper, we address the adaptive Neural Network tracking control problem of switched nonlinear system with non-minimum phase subsystem based on RBF Neural Network. The proposed controller is comprised of a neural network adaptive law, an adaptive robust control term, and switching path. The approximation errors of the RBF neural networks are introduced to the design of the neural network adaptive law, while the switching path is designed by using the principle of "energy attenuation fastest". The proposed adaptive neural switching control scheme can guarantee that non-minimum phase switched nonlinear system can asymptotically track the desired reference signal.
	TO cite this article:LONG Fei. Adaptive Neural Control of Non-minimum Phase Switched Nonlinear System[OL].[22 August 2012] http://en.paper.edu.cn/en_releasepaper/content/4487509

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