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Shijiazhuang, China

Gu Z.-F.,Ordancel Engineering College | Zhu C.-Q.,Ordancel Engineering College | Shao T.-Z.,Ordancel Engineering College
Kongzhi yu Juece/Control and Decision | Year: 2014

In order to realize the decentralized robust adaptive control for a class of the distributed multi-input system(DMIS), based on the state extending and back-stepping diturbance attenuation method, a new autonomous robust adaptive decentralized control method is proposed. Based on the direct feed-back linearization and the optimal control method, the optimal autonomous robust adaptive decentralized control method is realized. Simulation results show that the proposed method can stabilize the DMIS, be adaptive to the uncertain parameters and can be applied to minimize the impact of disturbance by solving the LMI to obtain the optimal control law against the worst disturbance. Source


Gu Z.-F.,Ordancel Engineering College | Zhu C.-Q.,Ordancel Engineering College | Shao T.-Z.,Ordancel Engineering College | Liu P.,Ordancel Engineering College
Kongzhi yu Juece/Control and Decision | Year: 2014

In the traditional robust adaptive control based on the Backstepping method, the design parameters in the virtual control function lack of restrain. Therefore, in the new method, the new system mathematical model is established in the new coordinate system. By using the direct linear feedback method and the optimal control method, the robust adaptive optimum control method with the state parameter constraint(RAOC-SPC) is obtained. Finally, taking the certain excitation system for example, the simulation experiment is carried out. The simulation results show that the RAOC-SPC method can improve the convergence speed of the state parameter and guarantee the system robustness. Source

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