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Yuequan Yang - IEEE Xplore Author Profile

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This paper investigates the stability probabilities of terminal sliding mode control of the continuous manipulator systems with Markovian jumpings. The proposed sliding manifold is a nonsingular sliding mode, which can be reached in a finite time. Furthermore, we discuss the situation that the control force is not strong enough, and then propose the reaching probability and sliding probability. A ...Show More
The adaptive fuzzy control problem is considered for a class of uncertain SISO nonlinear time-varying delay systems in a Brunovsky form. The upper bound of the unknown time-varying delay term is assumed to be in the form of nonlinear functions with unknown coefficients. An adaptive fuzzy controller is designed by utilizing the integral-type Lyapunov function and constructing a continuous function....Show More
The problem of adaptive fuzzy control is studied for a class of SISO nonlinear systems with unknown dead-zone and unknown function control gain in this paper. Based on the principle of sliding mode control and the property of Nussbaum function, a design scheme of adaptive fuzzy controller is proposed. By introducing characteristic function for the dead-zone model in the systems, a simplified dead-...Show More
With the proliferation of multicast service in the Internet, much attention has been put upon multicast congest control. Multicast traffic poses new challenges to the design of Internet congestion control protocols and system stability analysis. In this paper, we focus on the feedback-based sessions rate control problem on the combination of unicast and multirate multicast traffic architecture net...Show More
For conventional clustering segmentation of a color image, it is necessary to predetermine cluster number and centers of the color image. If they are not appropriately predetermined, results of segmentation may become considerably worse. To fulfill unsupervised clustering segmentation of visual color images for a mobile robot, this paper proposes a multiprototypes-take-one-cluster (MPTOC) strategy...Show More
In this paper modeling for the setup of time driven sensor node and actuator node, and event driven controller node, is made with network-induced time-delay longer than one sampling. Based on hybrid theory and LMI method, a sufficient condition of hybrid stabilization analysis is obtained. Then a stochastic stabilization condition for this networked control system is given. Finally we further prop...Show More
This paper mainly studies stability and optimal control for networked control systems with the real-time setup of time-driven sensor, event-driven controller and actuator, and with the assumption that network-induced delay is no longer than certain known times of sampling period. The modeling of this class of networked control systems is given. Then, preliminary stochastic stability analysis of it...Show More
Based on sliding mode control theory and approximation capability of multilayer neural networks (MNNs), a design scheme of a indirect robust adaptive controller for a class of nonlinear systems is proposed in this paper. The scheme guarantees the global stability of the closed-loop system while the closed-loop system tracking error converges to zero.Show More
A new scheme of a direct adaptive fuzzy controller for a class of nonlinear systems with unknown function control gain is proposed in this paper. The design is based on the principle of sliding mode control and the approximation capability of the second type fuzzy systems. The approach is able to avoid the requirement of the upper bound of the first time derivative of the control gain, which is as...Show More