Optimal control by least squares support vector machines
Neural Networks
Adaptive Neural Network Control of Robotic Manipulators
Adaptive Neural Network Control of Robotic Manipulators
Stable Adaptive Neural Network Control
Stable Adaptive Neural Network Control
A Note on the Universal Approximation Capability of Support Vector Machines
Neural Processing Letters
A Type-2 Fuzzy Switching Control System for Biped Robots
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Adaptive Robust Motion/Force Control of Holonomic-Constrained Nonholonomic Mobile Manipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
A singularity-free motion control algorithm for robot manipulators-a hybrid system approach
Automatica (Journal of IFAC)
Neural-network control of mobile manipulators
IEEE Transactions on Neural Networks
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
Wheeled mobile robot control based on SVM and nonlinear control laws
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Development and path planning of a biped robot
ICSR'12 Proceedings of the 4th international conference on Social Robotics
Adaptive neural complementary sliding-mode control via functional-linked wavelet neural network
Engineering Applications of Artificial Intelligence
Hi-index | 22.15 |
The hybrid joints can be switched to either active (actuated) or passive (under-actuated) mode as needed (Li, Ming, Xi, & Shimojo, 2006), in this paper, dynamic coupling switching control incorporating Support Vector Machines (SVMs) is developed for wheeled mobile manipulators with hybrid joints. The hybrid actuated robot dynamics is a mixed under-actuated and actuated model. In order to approximate the high dimension unmodelled dynamics, the SVMs matrix and its operator are proposed. Considering the joint switching as an event, the event driven switching control strategy is used to ensure that the system outputs track the given bounded reference signals within a small neighborhood of zero, and guarantee semi-global uniform boundedness of all closed loop signals, and the switch stability. The effectiveness of the proposed controls is verified through extensive simulations.