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1. Funnel Control of Lower-Triangular Nonlinear Systems With Singular Input-output Links | |||
Hai Liu,Yong-Hua Liu,Chun-Yi Su | |||
Electrics, Communication and Autocontrol Technology 08 March 2024 | |||
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Abstract:In this article, we delve into the issue of output tracking control with predefined transient behavior for lower-triangular nonlinear systems (LTNSs), especially when faced with the presence of unknown nonlinearities. Unlike the results in the current state of the art, the LTNS under consideration exhibits singular input-output links, which is inherently not feedback linearizable. This general characteristic significantly complicates the controller design process, rendering the tool of adding one power integrator (AOPI) ineffective. In response to this challenge, we develop a novel funnel control (FC) algorithm that ingeniously leverages the bilateral barrier functions (BBFs) alongside the $\varrho-\delta$ definition of limit, to meet predefined transient performance specifications of the output tracking. To validate the efficacy of the proposed FC approach, we conduct a comprehensive evaluation of key performance metrics, including tracking error and transient response. | |||
TO cite this article:Hai Liu,Yong-Hua Liu,Chun-Yi Su. Funnel Control of Lower-Triangular Nonlinear Systems With Singular Input-output Links[OL].[ 8 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762514 |
2. Dynamic output feedback control for stochastic networked control systems based on periodic event-triggered mechanism | |||
Mali Xing, Feiqi Deng | |||
Electrics, Communication and Autocontrol Technology 15 December 2016 | |||
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Abstract:In this paper, the event-triggered dynamic output feedback control for stochastic networked control system is investigated. The measurement output signal is periodically sampled but aperiodically transmitted. Under the periodic event-triggered mechanism, both impulsive system method and time-delay system method are utilized to model the stochastic networked control system, then the corresponding stability criteria are obtained. Based on the stability criteria, the suitable output-based controller and event-triggered parameters are co-designed. An air vehicle system is presented to illustrate the efficiency of the proposed control method. | |||
TO cite this article:Mali Xing, Feiqi Deng. Dynamic output feedback control for stochastic networked control systems based on periodic event-triggered mechanism[OL].[15 December 2016] http://en.paper.edu.cn/en_releasepaper/content/4713609 |
3. Accuracy-Stressed and Energy-Concerned Adaptive Sensor Scheduling for Target Tracking in Underwater Wireless Sensor Networks | |||
ZHANG Senlin,CHEN Huayan,LIU Meiqin | |||
Electrics, Communication and Autocontrol Technology 19 January 2014 | |||
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Abstract:Target tracking is one of the broad applications of underwater wireless sensor networks (UWSNs). Sensors of UWSNs are battery-powered and it is impracticable to replace the batteries when exhausted. That means the batteries life affecting the lifetime of whole networks. So, it is worth reducing the energy consumption on the premise of satisfactory tracking accuracy. This paper proposes an adaptive sensor scheduling scheme that implements for accurately and energy-efficiently tracking a maneuvering target detected by underwater UWSNs. This scheme employs multi-sensor to achieve the tracking task. And a priori criterion is presented to select the best sensor group and best fusion sensor from candidate sensors. The criterion is generated from the algorithm combining interacting multiple model with extended Kalman filters (IMM-EKF). For reducing the energy consumption, the sampling interval is variable at each time step, according to a pre-given tracking accuracy thresthold. Simulation demonstrates that selecting best sensor group can improve the tracking accuracy significantly; selecting best fusion sensor and appropriate sampling interval can reduce the energy consumption significantly. | |||
TO cite this article:ZHANG Senlin,CHEN Huayan,LIU Meiqin. Accuracy-Stressed and Energy-Concerned Adaptive Sensor Scheduling for Target Tracking in Underwater Wireless Sensor Networks[OL].[19 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4583108 |
4. A Multisensor Fusion Architecture for Two Phase Flow Process Parameters Measurement | |||
TAN Chao,DONG Feng | |||
Electrics, Communication and Autocontrol Technology 12 August 2013 | |||
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Abstract:Measuring the process parameters of two-phase flow has remained a widely discussed topic within the field of two-phase flow and measuring techniques, since to achieve this goal, a thorough understanding of flow mechanics and measuring techniques is necessary. However, the currently existing flow meters still could not meet the requirement from both the industrial and academic research, because most of the problems encountered in multiphase flow measurements arise from an increasing number of the characteristic flow parameters as compared with those in single-phase flows. This paper introduces a multi-sensor architecture of measuring process parameters of two-phase flow in a horizontal pipeline. Multi-sensor fusion techniques combine data and related information from spatially and temporally distributed sensors to achieve more complete, specific and reliable inferences than that could be achieved by using a single, independent sensor. The integration or fusion of data from each individual sensor eliminates possible redundancy and contradictions and consequently improves accuracy and reduces uncertainty of the measurement. The proposed architecture consists of a cone meter, a dual-plane Electrical Resistance Tomography (ERT) system, a set of parallel conductance ring sensors and pressure and temperature gauges. The function structure of sensor fusion is presented with data fusion algorithm. A case study on gas-water two phase flow is then presented with an improved results by using this architecture. | |||
TO cite this article:TAN Chao,DONG Feng. A Multisensor Fusion Architecture for Two Phase Flow Process Parameters Measurement[OL].[12 August 2013] http://en.paper.edu.cn/en_releasepaper/content/4555116 |
5. 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 |
6. 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 |
7. 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 |
8. PD plus Error-dependent Controllers for Robot Manipulators with Uncertain Kinematics | |||
HUANG Chunqing,XIE Lifen | |||
Electrics, Communication and Autocontrol Technology 13 June 2011 | |||
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Abstract:In framework of PID controllers, there is only three parameters available to tune, as a result, performance of the resulting system is always limited. As for Cartesian regulation of robot manipulators with uncertain kinematics, a new scheme of PID controllers with error-dependent integral action is proposed. Compare with the traditional PID controllers, the error-dependent integration is employed in this proposed controller to improve performance. It makes better transient performance possible since more tuning parameters are involved to be tuning in this PID structure. Finally, numerical example demonstrates the efficiency of the proposed PID controller by Cartesian space set-point manipulation of two-link robotic manipulator. | |||
TO cite this article:HUANG Chunqing,XIE Lifen. PD plus Error-dependent Controllers for Robot Manipulators with Uncertain Kinematics[OL].[13 June 2011] http://en.paper.edu.cn/en_releasepaper/content/4432345 |
9. Co-design of event generator and controller for event-triggered control system | |||
LI Shanbin,XU Bugong | |||
Electrics, Communication and Autocontrol Technology 27 April 2011 | |||
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Abstract:This paper proposes the preliminary results on the co-design of event generator and controller for event-triggered control system. By applying a quadratic input-to-state stable Lyapunov function, a sufficient condition for the existence of the event-triggered controller and event generator is established using the linear matrix inequalities. We further present a sufficient condition for non-trivial inter-execution time. Using an inverted pendulum mechanism, the effectiveness of the proposed method is illustrated in contrast to a standard linear-quadratic regulator implemented in an event-triggered style. | |||
TO cite this article:LI Shanbin,XU Bugong. Co-design of event generator and controller for event-triggered control system[J]. |
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