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Research on Dynamic Quantization Policies of Control Systems

Author: GuHuiHui
Tutor: LingQiang
School: University of Science and Technology of China
Course: Control Theory and Control Engineering
Keywords: Networked Control Systems Bandwidth-constrained Dynamic quantitative Nonlinear feedforward systems Saturation control
CLC: TP273
Type: Master's thesis
Year: 2011
Downloads: 23
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Abstract


With the increasingly wide range of networked control systems applications , the problems that exist in the network control system is also becoming a hot research . In this paper, the dynamic quantization algorithm impact on the stability of the system as well as the performance of the network bandwidth is limited . First select a class of linear systems with bounded noise as the object of study , develop appropriate dynamic quantization algorithm to reduce the quantization error . In this basis , the proposed the quantitative performance optimization problem , and the optimal quantization algorithm design problem boils down to solving an optimization equation ; further given the upper and lower bounds of the optimal quantitative performance . Optimum quantization algorithm is very difficult to strike , so the paper proposes a suboptimal quantization algorithm and simulation results show that the performance of the algorithm is very close to the upper bound of the optimal quantify performance , ie similar performance with optimal quantization algorithm . Subsequently , the article also studies the dynamic quantization algorithm for a class of nonlinear feedforward systems , and analysis of the kind of algorithm affect its stability . Among the previously existing research , the scholars have put forward under the local Lipschitz condition with n-bit, 1-bit stabilization of n-dimensional systems with global Lipschitz conditions under dynamic quantization algorithm . This paper studies sucked global Lipschitz condition 1-bit dynamic quantization algorithm is extended to the local Lipschitz condition . Improvements to the original algorithm , in the case of the occupied bandwidth of at least 1-bit , saturation control method to ensure the stability of the system , the article not only gave proved theoretically and verified through simulation . Nonlinear feedforward systems on the basis of this article also original results , a bounded noise by adjusting the set of rules, and saturation control parameters in the algorithm to develop a dynamic quantization algorithm , only occupied a 1-bit bandwidth can still ensure that the system is bounded input bounded output stability , and the last of the effectiveness of the algorithm is verified by simulation .

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