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IJCNN
2000
IEEE
13 years 11 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
EAAI
2007
199views more  EAAI 2007»
13 years 7 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
IJCNN
2006
IEEE
14 years 1 months ago
Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control
— It is a challenging task for multiple robots working together to realize object transportation. This paper studies a practical situation that a group of mobile manipulators are...
Xin Chen, Yangmin Li
CDC
2010
IEEE
142views Control Systems» more  CDC 2010»
13 years 2 months ago
Consensus with constrained convergence rate: Agreement in communities
The study focuses on a class of discrete-time multi-agent systems modelling opinion dynamics with decaying confidence. Essentially, we propose an agreement protocol that impose a p...
Constantin-Irinel Morarescu, Antoine Girard
CDC
2010
IEEE
102views Control Systems» more  CDC 2010»
13 years 2 months ago
Stock market trading via stochastic network optimization
We consider the problem of dynamic buying and selling of shares from a collection of N stocks with random price fluctuations. To limit investment risk, we place an upper bound on t...
Michael J. Neely