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1. Barrier Lyapunov Function-based control for strict-feedback systems withfull state constraints | |||
WANG Chunxiao,WU Yuqiang | |||
Information Science and System Science 02 July 2016 | |||
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Abstract:This paper studies an adaptive control design for a class of strict-feedback nonlinear systems with asymmetric time-varying full state constraints. A time-varying asymmetric Barrier Lyapunov Function (ABLF) is employed to ensure time-varying constraints satisfaction. By allowing the barriers to vary with the desired trajectory in time, the initial condition requirements are relaxed. Thus the ABLF can afford greater flexibility in control design. The high order coupling terms caused by backstepping method are canceled through variable substitution. Asymptotic tracking is achieved without violation of any constraints, and all signals in the closed-loop system are ultimately bounded. The performance of the ABLF-based control is illustrated through a numerical example. | |||
TO cite this article:WANG Chunxiao,WU Yuqiang. Barrier Lyapunov Function-based control for strict-feedback systems withfull state constraints[OL].[ 2 July 2016] http://en.paper.edu.cn/en_releasepaper/content/4699692 |
2. Autonomous Platoon controller design: A Time Domain Approach | |||
Pan Chuang, Yonggui Liu | |||
Information Science and System Science 15 May 2016 | |||
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Abstract:In this paper, the linear control laws are proposed for the platoonrun in a 2-dimensional space. Each vehicle not only uses theinformation of its predecessor, but also its follower's. We considera platoon that doesn't need a leader and prove the platoon is stableunder the proposed state feedback control law. We set a target pointfor each vehicle, which guarantees the vehicle run along the middleposition of the road with the desired velocity. After somemodifications, the control law is applied to the platoon with aleader. One proves the control law is also effective. Somesimulations are provided to illustrate that the proposed controllaws are feasible and reasonable. From the simulations one can findthe control laws are effective and the objectives of the controllaws can be achieved. | |||
TO cite this article:Pan Chuang, Yonggui Liu. Autonomous Platoon controller design: A Time Domain Approach[OL].[15 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4689111 |
3. Determining the viability domain for a class of hybrid systems on a region with piecewise smooth boundary | |||
HAN Yan-Li,Gao Yan | |||
Information Science and System Science 07 January 2015 | |||
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Abstract:This paper is devoted to determine the viability of a class hybrid systems on a region which is expressed by inequalities of piecewise smooth functions. Firstly, the problem of continuous dynamics system is discussed based on nonsmooth analysis. Secondly, a sufficient and necessary condition of viability domain for hybrid differential inclusion is gotten. Finally, a class of piecewise smooth functions which are widely used are discussed, and the discriminating method for hybrid viability of the region is given. | |||
TO cite this article:HAN Yan-Li,Gao Yan. Determining the viability domain for a class of hybrid systems on a region with piecewise smooth boundary[OL].[ 7 January 2015] http://en.paper.edu.cn/en_releasepaper/content/4626211 |
4. Coordinated Adaptive Control for Collective Motion on Level Curves with a Time-Invariant Orbital Velocity | |||
CHEN Yang-Yang,TIAN Yu-Ping | |||
Information Science and System Science 24 January 2013 | |||
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Abstract:This paper develops a distributed strategy that stabilizescollective motion in fully actuated models of multiple surfacevessels that travel on given convex loops and approach a time-invariant reference orbital velocity. Aconsensus-based adaptive control law under the bidirectionalcommutation topology is proposed to estimate the desired orbitalvelocity so that the restriction that every vehicle in the familyhas access to the reference in the literature is removed. Theassumption of nonzero linear speed of each vessel is avoided by introducing apotential function. An simulation example is presented as a proof ofconcept. | |||
TO cite this article:CHEN Yang-Yang,TIAN Yu-Ping. Coordinated Adaptive Control for Collective Motion on Level Curves with a Time-Invariant Orbital Velocity[OL].[24 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4516334 |
5. Partial synchronization of the distributed parameter system with time delay via fuzzy control | |||
YUAN Kun,FEI Shumin,CAO Jinde | |||
Information Science and System Science 27 December 2012 | |||
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Abstract:In this paper, partial synchronization of thedistributed parameter system (DPS) with time delay is considered via the Galerkin's method and the fuzzy control. First, based on the Galerkin's method, the dynamics of master DPs and slave DPS can be described by low-order ordinary differential equations (ODE), respectively. Then the low-order functional ODEs is used as the basis for the design of the fuzzy controller to ensure the synchronization between the two low-order ODEs, moreover, when the slow system of masterDPS and the slow system of slave DPS is synchronized, the errorbetween master DPS and slave DPS is bounded. Some criteria are derived for stabilization and linear matrix inequality (LMI) design approach is developed. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulation . | |||
TO cite this article:YUAN Kun,FEI Shumin,CAO Jinde. Partial synchronization of the distributed parameter system with time delay via fuzzy control[OL].[27 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4505494 |
6. An Algorithm for Detection of Malicious Messages on CAN Buses | |||
Ling Congli ,Dongqin Feng | |||
Information Science and System Science 12 September 2012 | |||
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Abstract:Control systems are encountering increasing security threats; as one of the common systems, CAN control system is very facile to be attacked. Aiming at the improvement of CAN control system security, an algorithm for detection of malicious CAN messages is given, and it has been implemented in the CANoe simulation environment. The result shows that this algorithm has powerful detection function and valuable practice signification. | |||
TO cite this article:Ling Congli ,Dongqin Feng. An Algorithm for Detection of Malicious Messages on CAN Buses[OL].[12 September 2012] http://en.paper.edu.cn/en_releasepaper/content/4488602 |
7. Nonlinear Spectral Analysis: Theory and ApplicationNonlinear Spectral Analysis: Theory and Application | |||
Han Chongzhao ,Wei Ruixuan ,Fang Yangwang ,Cao Jianfu ,Kong Xiangyu | |||
Information Science and System Science 22 December 2005 | |||
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Abstract:By analyzing the Volterra model in frequency domain, i.e. the generalized frequency response functions (GFRF), characteristics of nonlinear system in frequency domain can be realized, and it can be applied to fault diagnosis of nonlinear system. The Volterra model identification and fault diagnosis method are two important aspects of the nonlinear spectral analysis, we have obtained some new significant progresses about these two aspects in recent year. In this paper, the theory and application based on nonlinear spectral analysis are perfectly introduced, and the new progresses are also presented. For identification of Volterra model, by reconstructing the Volterra model as a pseudo-linear combination construction, and using a constrained optimization analysis idea, a fully decoupled Volterra adaptive identification algorithm is firstly presented. The simulation results show that the fully decoupled identification algorithm can effectively improve the convergence speed and precision of adaptive identification, and its convergence process is more stable. For improving robust performance of Volterra model identification, a robust total least mean square adaptive identification algorithm is presented by defining the Volterra total mean squared error and modifying estimated gradient according to the steepest descent principle. The theoretic analysis and simulation results have indicated its excellent performance. In addition, for reducing computation requirements in fault diagnosis based on nonlinear spectral analysis, a new diagnosis method based on multiple preset GFRF models is also presented. In this method, the multiple preset GFRF models are used to describe the corresponding working mode of the system, and the fault can be directly diagnosed according to the matching extend of each preset model to the current working mode of the system. The experiment test has proved this new diagnosis method is effective. | |||
TO cite this article:Han Chongzhao ,Wei Ruixuan ,Fang Yangwang , et al. Nonlinear Spectral Analysis: Theory and ApplicationNonlinear Spectral Analysis: Theory and Application[OL].[22 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4585 |
8. Optimal Control for returns of used products by buy-back policy | |||
Xiaochen Sun,Fengsheng Tu,Tsiushuang Chen,Xiang Li | |||
Information Science and System Science 16 November 2005 | |||
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Abstract:An optimal control problem for collecting used products was considered in a reverse logistics system when a remanufacturing firm faces random arrivals and deterministic demands for used products. Traditionally, the return process of used products is considered as exogenous, which is out of control of the firm, and makes a huge burden for the firm. However, if the firm takes buy-back policy for used products, it will change the firm’s passive position. Firstly, a Markov Decision Process model with random input which is controlled by the price was proposed. Secondly, an optimal state-dependent solution with two critical states was given. Finally, a dynamic programming algorithm for solving the optimal state-dependent policy was developed. | |||
TO cite this article:Xiaochen Sun,Fengsheng Tu,Tsiushuang Chen, et al. Optimal Control for returns of used products by buy-back policy[OL].[16 November 2005] http://en.paper.edu.cn/en_releasepaper/content/3667 |
9. ROBUST STABILITY TEST FOR STATE-SPACE MODELS WITH STRUCTURED UNCERTAINTY | |||
Yang Xiao | |||
Information Science and System Science 04 July 2005 | |||
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Abstract: We develop two-dimensional (2-D) face test to determine the stability of a nominally stable linear state-space model being subjected to real structured perturbations. The system matrices are assumed to depend linearly on set of interval parameters. Since the system matrix family of the uncertain systems belongs to a kind of polytopes of matrices, we can apply a 2-D face test, which is necessary and sufficient condition for the robust Hurwitz or Schur stability for the uncertain matrices. Examples are given to verify the 2-D robust stability test to be correct. | |||
TO cite this article:Yang Xiao. ROBUST STABILITY TEST FOR STATE-SPACE MODELS WITH STRUCTURED UNCERTAINTY[OL].[ 4 July 2005] http://en.paper.edu.cn/en_releasepaper/content/2345 |
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