Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Feedback Control of Large Scale Systems
Feedback Control of Large Scale Systems
srCE: a collaborative editing of scalable semantic stores on P2P networks
International Journal of Computer Applications in Technology
Modelling and optimisation on bus transport system with graph theory and complex network
International Journal of Computer Applications in Technology
Dynamic generating algorithm on path selection and optimisation in travel planning
International Journal of Computer Applications in Technology
Hi-index | 0.01 |
This paper presents a new method to approximate optimal control strategies of discrete time large-scale nonlinear systems using intelligent approaches. The idea is based on the decomposition principle of the global system into interconnected subsystems for which nonlinearities are located in the interconnection terms. Then, the mixed coordination procedure between different subsystems is formulated as a hierarchical method for the solution of large-scale optimal control problems. So, for each subsystem, local optimal feedback gains are expressed in terms of the interconnection vector. For this purpose, neural networks and fuzzy logic controllers have been constructed in order to identify these gains. A comparison with the differential dynamic programming procedure as a reference method is done. Simulation results of two numerical examples show that the proposed method yields to satisfactory performances, and the robustness of the proposed approaches has been tested.