Titlebook: Advances in Neural Networks - ISNN 2005; Second International Jun Wang,Xiao-Feng Liao,Zhang Yi Conference proceedings 2005 Springer-Verlag

镀金

What Is a Community of Practice?n and adaptive bounding design technique are combined to construct an adaptive NN controller. Unknown time-delay functions are approximated by NNs. Based on the Lyapnov-Krasovikii functional, the sem-globally uniformly ultimately boundedness (SGUUB) of all the signals in the closed-loop systems is p

Gleason-score

Jacquie McDonald,Aileen Cater-Steelmodes. Multiple linearized models are established at each equilibrium point of the system. Each local linearized model is valid within a neighborhood of the point, and then an improved RBF algorithm is applied to compensate for modeling error. Simulation results are presented to demonstrate the vali

overreach

What Is a Community of Practice?e neural network tuning are integrated to assure that not only the stability of the resulting closed-loop control system is guaranteed, but also the reasonable tracking performance is achieved. The adaptation of the parameters of neural networks is handled based on the robust adaptive control design

光滑

Information Science and Knowledge Managementast Squares Support Vector Machines (LS-SVMs) is proposed in this paper. It has a PID controller to compensate the control signal error. A kind of adaptive disturbance canceller based on LS-SVM is also proposed. It can optimally eliminate plant disturbance. Simulation example is presented to demonst

Baffle

https://doi.org/10.1007/978-3-540-85424-1r consists of equivalent controller and H-infinity controller. RBF neural network is used to approximate the unknown part of switched nonlinear systems, and the approximation errors of the RBF neural networks are introduced to the adaptive law in order to improve the performance of the whole systems

gout109

ambivalence

Information Science and Knowledge Managementis compromised. Furthermore, due to its ability to discern between controller malfunctions and faults within the plant, the proposed supervisor acts in a specific fashion in the event of a controller malfunction to provide new avenues with a greater probability of convergence using information from

Fantasy

DENT

https://doi.org/10.1007/978-3-540-85424-1tended Kalman filter (EKF). A novel recursive algorithm is proposed to calculate the Jacobian matrix in the model adaptation so that the algorithm is simple and converges fast. A model inversion control with the developed adaptive model is applied to nonlinear processes and fault tolerant control is

南极

Information Science and Knowledge Managementpractical failure situation that can be modeled. In this paper we explore a methodology for fault accommodation in nonlinear dynamic systems. A new control scheme is derived by incorporating two neural network (NN) units to effectively attenuate and compensate uncertain dynamics due to unpredictable