Stabilizability of nonholonomic control systems
Automatica (Journal of IFAC)
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
An intelligent robust tracking control for electrically-driven robot systems
International Journal of Systems Science
EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots
Information Sciences: an International Journal
Dual adaptive dynamic control of mobile robots using neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Neural network control of mobile robot formations using RISE feedback
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Novel robust stability criteria for stochastic hopfield neural networks with time delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Direct adaptive fuzzy control for nonlinear systems with time-varying delays
Information Sciences: an International Journal
Information Sciences: an International Journal
Exponential stability on stochastic neural networks with discrete interval and distributed delays
IEEE Transactions on Neural Networks
Computational intelligence approach to PID controller design using the universal model
Information Sciences: an International Journal
Passive learning and input-to-state stability of switched Hopfield neural networks with time-delay
Information Sciences: an International Journal
Information Sciences: an International Journal
New passivity analysis for neural networks with discrete and distributed delays
IEEE Transactions on Neural Networks
Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems
Information Sciences: an International Journal
Information Sciences: an International Journal
State observer-based robust control scheme for electrically driven robot manipulators
IEEE Transactions on Robotics
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
Robust tracking control of an electrically driven robot: adaptive fuzzy logic approach
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
Robust neural-network control of rigid-link electrically driven robots
IEEE Transactions on Neural Networks
Control of a nonholonomic mobile robot using neural networks
IEEE Transactions on Neural Networks
Neural-network control of mobile manipulators
IEEE Transactions on Neural Networks
Gaussian networks for direct adaptive control
IEEE Transactions on Neural Networks
Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
Hi-index | 0.07 |
This paper addresses the problem of designing robust tracking controls for a class of uncertain nonholonomic systems actuated by brushed direct current (DC) motors. This class of electrically driven nonholonomic mechanical systems can be perturbed by plant uncertainties, unmodeled time-varying perturbations, and external disturbances. An adaptive neural network-based dynamic feedback tracking controller will be developed such that all the states and signals of the closed-loop system are bounded and the trajectory tracking error is as small as possible. Consequently, for practical applications, the intelligent robust tracking control scheme developed here can be employed to handle a broader class of electrically driven nonholonomic systems in the presence of high-degree time-varying uncertainties. Finally, simulation examples are presented to demonstrate the effectiveness of the proposed control algorithms.