With the rapid growth of Web services on the Internet, the atomic Web services as nodes and their functionality dependency relationships as edges form a complex Web service network. Various interactions between Web se...
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In this paper, the asymptotical stabilization problem for ordinary differential equations switched systems has been extended to distributed parameter switched systems(DPSS) in Hilbert space. Based on semigroup and ope...
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In this paper, the asymptotical stabilization problem for ordinary differential equations switched systems has been extended to distributed parameter switched systems(DPSS) in Hilbert space. Based on semigroup and operator theory, sufficient conditions of asymptotical stabilization for linear DPSS are derived in linear operator inequalities(LOIs)framework. Being applied to three dimensional switched heat propagation equations, we transform the LOIs into the linear matrix inequalities(LMIs), which has the advantage of being numerically well tractable by using matlab software. In particular, the state feedback gain matrices are designed. Two examples are given to illustrate the proposed results.
A robust recursive least-squares(RLS) adaptive filter against impulsive noise is proposed for the situation of an unknown desired *** minimizing a saturable nonlinear constrained unsupervised cost function instead of ...
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A robust recursive least-squares(RLS) adaptive filter against impulsive noise is proposed for the situation of an unknown desired *** minimizing a saturable nonlinear constrained unsupervised cost function instead of the conventional least-squares function,a possible impulse-corrupted signal is prevented from entering the filter’s weight updating ***,a multi-step adaptive filter is devised to reconstruct the observed "impulse-free" noisy sequence,and whenever impulsive noise is detected,the impulse contaminated samples are replaced by predictive *** on simulation and experimental results,the proposed unsupervised robust recursive least-square adaptive filter performs as well as conventional RLS filters in "impulse-free" circumstances,and is effective in restricting large disturbances such as impulsive noise when the RLS and the more recent unsupervised adaptive filter fails.
An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migratio...
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An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migration condition is satisfied, the best individual in each subpopulation will replace the worst individual of its neighbor subpopulations according to the Von Neumann topology. The migration mechanism among subpopulations enables the information to be communicated in the whole population. Meanwhile, the adaptive mechanism of F and CR is presented for assigning different F and CR to each individual according to the individual's fitness. Numerical results show that, the proposed algorithm is beneficial to explore the solution space, which can avoid the premature convergence and search the excellent solutions.
Based on the excellent mechanical structure of the wheel-foot multi-joint mobile robot, we have strictly deduced the direct and inverse kinematical formulas of the robot's legs. So the theoretical method and techn...
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Based on the excellent mechanical structure of the wheel-foot multi-joint mobile robot, we have strictly deduced the direct and inverse kinematical formulas of the robot's legs. So the theoretical method and technology of gaits control for the wheel-foot multi-joint mobile robot have been explored out. By precisely analyzing the obstacle performance and the workspace of the robot's feet, the constraints and efficiency of the robot have been illustrated clearly. After studying the features of various gaits, we also have designed four kinds of specific gaits for the wheel-foot multi-joint mobile robot, including the swing forward gait, the crab-lateral gait, the bent-knee forward gait and the wheel-turn gait, to verify the mobile ability and control effects of the robot. Then we research most fully on the control features, the attitudes of legs, the simulation effects and the fluctuation of the robot's body when walking with these four kinds of gaits, in order to fully understand the performance of the robot. The results of simulations and actual prototype tests have proved that the wheel-foot multi-joint mobile robot, with special mechanical structure and reasonable gaits planning, can move fast and steadily with versatile gaits in various complex terrains. The effectiveness of the theoretical exploration and the technical implementation has been fully proved in this paper.
A humanoid robot may suffer from slip since its two feet are not fixed on the ground. Slip occurrence may induce the loss of robot's balance. The previous literature focused on the detection or estimation of the s...
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A humanoid robot may suffer from slip since its two feet are not fixed on the ground. Slip occurrence may induce the loss of robot's balance. The previous literature focused on the detection or estimation of the slip occurrence, or only employed the translational acceleration regulation to overcome slip. This study proposes a slip prevention method by coordinating acceleration vector including the horizontal, vertical, and rotational acceleration components. The contribution of this paper is to regulate the translational and rotational acceleration together to prevent the slip occurrence. The effectiveness of our proposed method was verified by simulations and experiments on an actual humanoid robot.
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes ...
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ISBN:
(纸本)9781479937097
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes it robust to the variation of the original objective with respect to unknown parameters. We focus on the fixed switching mode sequences and convert the sensitivity problem into a conventional optimal switched control problem, which can be solved directly using the gradient descent algorithm. The efficacy of the proposed method is illustrated via numerical example.
Traffic control is an effective and efficient method for the problem of traffic *** complex urban traffic networks,it is necessary to design a high-level controller to regulate the traffic *** the parallel control fra...
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Traffic control is an effective and efficient method for the problem of traffic *** complex urban traffic networks,it is necessary to design a high-level controller to regulate the traffic *** the parallel control framework for complex traffic networks,we design a demand-balance MPC controller based on the MFD-based multi-subnetwork model,which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the *** transferring traffic flows among subnetworks are indirectly controlled by the demand-balance MPC controller,and a global optimality can be achieved for the entire traffic *** simulation results show the effectiveness of the proposed controller in improving the network traffic throughput.
This paper considers the robust attitude control problem of re-entry vehicle in the presence of the parametric uncertainties and external *** on SDRE method,an optimal sliding surface is first obtained through the min...
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ISBN:
(纸本)9781479900305
This paper considers the robust attitude control problem of re-entry vehicle in the presence of the parametric uncertainties and external *** on SDRE method,an optimal sliding surface is first obtained through the minimization of a selected performance index ***,an adaptive sliding mode controller is designed to guarantee the reachability condition of the related optimal sliding *** switching gains are obtained on-line through an adaptation scheme,which eliminates the requirement of a priori knowledge of the upper bound on the lumped *** effectiveness of the proposed strategy is verified by both theoretical analysis and simulation results.
The control problem of spacecraft eigenaxis maneuver in the presence of parametric uncertainty and external disturbance is addressed in this paper. Modified Rodrigues parameters (MRPs) are utilized as the attitude p...
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ISBN:
(纸本)9781467355339
The control problem of spacecraft eigenaxis maneuver in the presence of parametric uncertainty and external disturbance is addressed in this paper. Modified Rodrigues parameters (MRPs) are utilized as the attitude parameters for the non-redundancy. An eigenaxis maneuver control law with feedback and feed-forward terms is presented for the nominal system. The transient response of close loop system can be adjusted according to an approximate second order system. To improve the robustness, integral sliding mode (ISM) technique is adopted to reject undesirable effects and track nominal trajectory. The resulting controller can perform the eigenaxis maneuver in the presence of parametric uncertainty and external disturbance while possess good system performance. The effectiveness of the proposed method is demonstrated by simulation results.
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