1,721,024 research outputs found

    Robust tracking control of a class of nonlinear switched systems: An average dwell-time method

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    Georgi M. Dimirovski (Dogus Author) -- Full conference title: American Control Conference, 2009: ACC '09 ; 10 - 12 June 2009, St. Louis, MO, USA ; annual conference of the American Automatic Control CouncilThis paper is concerned with the output tracking control problem for a class of nonlinear switched cascade systems with external disturbances under some average dwell-time based switching laws. The problem is solved based on the variable structure control technique and the characteristic of the system. The variable structure controllers and the average dwell-time are designed under which the output of the closed-loop switched system can follow the desired output exactly after a finite time internal and all the states remain globally bounded. And the effectiveness of the proposed design approach is illustrated with simulation results

    Stability and convergence of perturbed switched linear time-delay systems

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    Georgi M. Dimirovski (Dogus Author) -- Full conference title: American Control Conference, 2009: ACC '09 ; 10 - 12 June 2009, St. Louis, MO, USA ; annual conference of the American Automatic Control Council.We address the issue of stability and convergence of perturbed switched linear time-delay systems. By introducing the variation-of-constants formula, the conditions of the stability and convergence of perturbed switched linear systems with time-delay are established, and the difficulties caused by the interaction between the switchings and time-delay are conquered. Based on the general result of perturbed switched linear time-delay systems, under two different switching schemes, new delay dependent and independent stability criteria for switched linear systems with time-delay are developed. The numerical examples show feasibility and validity of the results

    Controlled synchronization of complex dynamical networks with nonlinear nodes and couplings

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    Georgi M. Dimirovski (Dogus Author) -- Full conference title: 3rd IEEE Multi-conference on Systems and Control: IEEE International Conference on Control Applications; IEEE International Symposium on Intelligent Control: July, 8-10, 2009. Saint Petersburg, RussiaSynchronization problem for a class of complex networks consisting of N nonlinear dynamical nodes that are nonlinearly and diffusively coupled is solved in here. The global synchronization of such networks is investigated via Lyapunov stability theory. Under assumptions that measurements full state vectors of each node are available and coupling coefficients are known, a family of decentralized nonlinear feedback controllers are designed to globally synchronize the network system. When coupling coefficients are unavailable, an adaptive mechanism is introduced to synthesize a family of decentralized adaptive controllers which guarantee the global synchronization. An illustrative example with Lorenz node systems along with the respective computer simulation results is given to demonstrate the effectiveness of the proposed solution to controlled synchronization.This work was supported in part by the NSF of the P.R. China (Grant 60574013) and the Ministry of Education& Science of the R. Macedonia (Grant 14-3154/1/17.12.2007)

    Fault Tolerant Estimation of UAV Dynamics via Robust Adaptive Kalman Filter

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    A covariance scaling based robust adaptive Kalman filter (RAKF) algorithm is developed for the case of sensor/actuator faults. The proposed RAKF uses variable scale factors for scaling the process and measurement noise covariances and eliminating the effect of the faults on the estimation procedure. At first, the existing covariance estimation based adaptation techniques are reviewed. Then the covariance scaling methods with single and multiple factors are discussed. After choosing the efficient adaptation method an overall concept for the RAKF is proposed. In this concept, the filter initially isolates the fault, either in the sensors or in the actuators, and then it applies the required adaptation process such that the estimation characteristic is not deteriorated. The performance of the proposed filters is investigated via simulations for the UAV state estimation problem. The results of the presented algorithms are compared for different types of sensor/actuator faults and recommendations about their application are given within this scope

    Editorial Foreword to the Selected SWIIS 2000 Papers

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    Preface

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