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	1. Observer-based H∞ Event-triggered Control for Piecewise Affine Systems
	JIANG Yong-Hao,WU wei,WU wei
	Electrics, Communication and Autocontrol Technology 13 January 2020
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	Abstract:This paper investigates output-based H∞ event-triggered control for piecewise affine systems. Firstly, to cope with the situation that the system states are not completely measurable, an observer is designed. Then based on the observer and the system output, an event-triggering mechanism as well as the feedback controller are proposed. The output space partition of the piecewise affine system is approximated by degenerate ellipsoids. Based on the piecewise Lyapunov function, the co-design problem of the observer, the controller and the event-triggering rule is transformed into an LMI-based sufficient condition. The observer and the controller can be obtained by solving a set of LMIs. The stability of the closed-loop system is guaranteed and meanwhile the number of the transmission can be significantly reduced. Finally, a numerical example is provided to illustrate the effectiveness of the proposed approach.
	TO cite this article:JIANG Yong-Hao,WU wei,WU wei. Observer-based H∞ Event-triggered Control for Piecewise Affine Systems[OL].[13 January 2020] http://en.paper.edu.cn/en_releasepaper/content/4750414


	2. An improved event-triggered mechanism for networked cascade control system with stochastic nonlinearities
	Gu Zhou ,Zhao Huan ,Yang Lin Hui
	Electrics, Communication and Autocontrol Technology 10 May 2017
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	Abstract:This paper proposes an improved event-triggered mechanism for networked cascade control system $(NCCS)$ with network-induced delay and stochastic nonlinearities. Firstly, different from the conventional method by preestablishing a fixed triggering parameter, the improved event-triggered mechanism in this paper can adaptively adjust the triggering parameter with respect to the time interval and the dynamic error to reduce the transmission rate while limiting the maximum allowable number of continuous packet loss $(MAPL)$. Secondly, a model of $NCCS$ is established with consideration of network-induced delay, multiplicative stochastic nonlinearities and uncertainties. The multiplicative stochastic disturbances are in the form of a scalar Gaussian white noise with unit variance. Thirdly, by using the linear matrix inequality $(LMI)$ method, sufficient conditions are established that ensure the mean-square stability of the $NCCS$, and then controllers' parameters are characterized by the solution to a set of $LMI$. Finally,two examples are exploited to show the effectiveness of the proposed event-triggered mechanism.
	TO cite this article:Gu Zhou ,Zhao Huan ,Yang Lin Hui . An improved event-triggered mechanism for networked cascade control system with stochastic nonlinearities[OL].[10 May 2017] http://en.paper.edu.cn/en_releasepaper/content/4732601

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	3. Design for Motor Speed Fractional Order Controller Based on Improved Artificial Bee Colony Algorithm
	Huang Liangsong,Yuxia Li
	Electrics, Communication and Autocontrol Technology 20 September 2015
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	Abstract:The fractional order PID controller has better performance than the traditional PID controller for servo motor control systems. However, according to the design criteria, the best parameters of fractional order controller exist in nonlinear transcendental equations which are difficult to be solved. In this paper, we adopt artificial bee colony (ABC) algorithm to optimize the solutions of equations. Considering that the standard ABC algorithm is good at exploration but poor at exploitation, we propose an improved ABC algorithm and introduce the powder place elimination mechanism in the search strategy, which decreases the inferior candidate solutions selected randomly by colony bees to search new solutions and narrows the scope of search gradually to improve the ability of local exploitation and speed of convergence. We designed motor speed fractional order controller with the parameters optimized by improved ABC algorithm, results of simulation experiments verified the feasibility, effectiveness and practicability of the algorithm.
	TO cite this article:Huang Liangsong,Yuxia Li. Design for Motor Speed Fractional Order Controller Based on Improved Artificial Bee Colony Algorithm[OL].[20 September 2015] http://en.paper.edu.cn/en_releasepaper/content/4655452


	4. Design of Dynamic Model with Adaptive Nonlinear Friction Compensation for Vacuum Parallel Manipulator
	Huang Liangsong,Yuchuan Huang,Yuxia Li
	Electrics, Communication and Autocontrol Technology 17 August 2015
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	Abstract:A dynamic model and a method of adaptive nonlinear friction compensation with parametric uncertainties of vacuum parallel manipulator are designed. For the specificity of mechanical structure of manipulator, the composite motions of manipulator are decomposed into three decoupled motions, and a practical and simple dynamic model is designed. For the problems of friction models at present, a method of adaptive nonlinear friction compensation base on modified Dalh model is designed, which is well stable and feasible. The control system of manipulator with current feedforward compensations of dynamic model is designed, results of experiment indicate that the design improves the trajectory tracking and motion performances of vacuum parallel manipulator, which can be implemented in practical applications.
	TO cite this article:Huang Liangsong,Yuchuan Huang,Yuxia Li. Design of Dynamic Model with Adaptive Nonlinear Friction Compensation for Vacuum Parallel Manipulator[OL].[17 August 2015] http://en.paper.edu.cn/en_releasepaper/content/4651809


	5. 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


	6. Slab Thickness Deviation Rectification Control of MDF Continuous Press Based on Hierarchical Structure of Synergetic Govenance
	WU Qu,LIU Yaqiu
	Electrics, Communication and Autocontrol Technology 15 April 2014
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	Abstract:Based on behavior-based synergetic control method, a hierarchical structure of synergetic governance is proposed for cylinder-array, which contains multi terminals: Synergy Nuclear-Control Agent-Motion Terminal structure. Synergetic governance method for cylinder-array is researched based on the structure. Employ synergetic control to motion terminal system. Control agent carries out corrections between terminals for their synchronous output. Aim to the problems output same or different physical parameters, hierarchical synergy schemes which include self-synergy and inter-synergy are proposed. Slab thickness deviation thresholds are defined so as to make a distinction among thickness deviation levels. And thickness deviation rectification rules are formulated. Synergy nuclear calculates final deviation rectification decision according to the rules. Employ the governance structure to slab thickness deviation rectification control of MDF continuous press for simulations. To test the established thickness deviation rectification synergetic governance mechanism by the system, let the simulated data and slab for experiment be detected. The dynamic surfaces of displacement output and pressure output demonstrate that the hydraulic cylinder-array's outputs are consistent with slab deviation rectification decision. Synergy nuclear could shift decision according to slab features under each hydraulic cylinder. It achieves slab thickness deviation dynamic rectifying for MDF continuous press without overshoot. The outputs of cylinder-array are consistent overall.
	TO cite this article:WU Qu,LIU Yaqiu. Slab Thickness Deviation Rectification Control of MDF Continuous Press Based on Hierarchical Structure of Synergetic Govenance[OL].[15 April 2014] http://en.paper.edu.cn/en_releasepaper/content/4593539


	7. 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


	8. 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


	9. Modeling of Pendubot and Its Parameters Identification Based on HR-Multiplier Method
	WANG Lingyu,WU Chuansheng
	Electrics, Communication and Autocontrol Technology 23 October 2012
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	Abstract:This paper derive the dynamic model of the Pendubot by using Euler-Lagrange equations in detail. Then the identification equation can be easily written on. Because of the limited of nonnegative constraints, general least square method is not available. In order to solve this problem, a new method based on HR-Multiplier is proposed by this paper. It can translate the nonnegative constraints problem into unconstrained optimization problem. At last, we compare the result with that solved by the command of lsqnoneg using Matlab. The contrast result demonstrates the effective of this method with the average deviation less than 0.66×10-3.
	TO cite this article:WANG Lingyu,WU Chuansheng. Modeling of Pendubot and Its Parameters Identification Based on HR-Multiplier Method[OL].[23 October 2012] http://en.paper.edu.cn/en_releasepaper/content/4491741


	10. Adaptive Neural Control of Switched Nonlinear StochasticSystem with Time-Varying Delay Based on ELM
	XIAO Yang,LONG Fei
	Electrics, Communication and Autocontrol Technology 13 July 2012
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	Abstract:The paper presents a adaptive neural networks control scheme without system observers for a class of SISO stochastic nonlinear switched systems with time-varying delay. In the scheme, only a single hidden layer feedforward network (SLFN) is employed to compensate for all known system nonlinear terms depending on the delayed output. The output weights are updated based on the Lyapunov synthesis approach and backstepping technique to guarantee the stability of the overall system. Then a special switching law are given based on attenuation speed of each subsystem. Different from the existing techniques, the parameters of the SLFN are adjusted based on a new neural networks learning algorithm named as extreme learning machine (ELM), where all the hidden node parameters randomly be generated. Finally, the proposed AANC scheme is applied to an example and the simulation results demonstrate the effectiveness of the control schem.
	TO cite this article:XIAO Yang,LONG Fei. Adaptive Neural Control of Switched Nonlinear StochasticSystem with Time-Varying Delay Based on ELM[OL].[13 July 2012] http://en.paper.edu.cn/en_releasepaper/content/4484820

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