Optimal control by least squares support vector machines
Neural Networks
Ohio State University at the 2004 DARPA Grand Challenge: Developing a Completely Autonomous Vehicle
IEEE Intelligent Systems
Control of a nonholonomic mobile robot using neural networks
IEEE Transactions on Neural Networks
An overview of statistical learning theory
IEEE Transactions on Neural Networks
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Wheeled mobile robot control method based on SVM algorithm and nonlinear control laws is discussed in this paper. The control system includes two parts: nonlinear controller and SVM controller. Nonlinear controller's primary role is to obtain the desired velocity which can make the kinematics stable, SVM controller's primary role is to optimize the control parameters through on-line learning and track the desired velocity. The control method proposed in this paper is independent of the control object model, and has good generalization capability. Simulations illustrate quality and efficiency of this method.