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【期刊论文】Analysis of Robustness of PID-GPC Based on IMC Structure*
陈增强, CHEN Zengqiang**, MAO Zongxing, DU Shengzhi, SUN Qinglin, and YUAN Zhuzhi
Cjomese K. Cje,. Emg. 11(1)55-61(2003),-0001,():
-1年11月30日
Proportion integral differential generalized predictive control(PID-GPC), a new type of generalized predictive control (GPC) is introduced, and its quality is analyzed with internal model control (IMC). A very important characteristic, which distinguishes CPC from ordinary IMC, and the robust effect are found. At the same time, a robust region is obtained according to the control laws, so that the defect that the robust analysis could be carried out only with stable models is overcome. It is verified that the robustness of PID-GPC is stronger than general GPC.
process control,, internal model control,, predictive control
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【期刊论文】Centre-manifold-based sliding mode output tracking for non-minimum nonlinear systems
陈增强, X. WANG*, Z. CHEN and Z. YUAN
International Journal of Systems Science 2005, 1-9,-0001,():
-1年11月30日
This paper focuses on a problem of sliding mode output tracking for non-minimum-phase nonlinear systems whose zero dynamics is not stable. Sliding mode consists of continuous power functions instead of switch functions, and the power of the function has the term of fraction whose denominator and numerator are all positive odd numbers, so the chattering phenomenon can be avoided. The method of the design is based on the centre manifold theory, and a sliding manifold can be constructed by the combination of the polynomial of tracing error and internal dynamics variable.
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【期刊论文】Chaotifying Linear Elman Networks
陈增强, Xiang Li, Guanrong Chen, Zengqiang Chen, and Zhuzhi Yuan
IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 13, NO.5, SEPTEMBER 2002,-0001,():
-1年11月30日
Abstract-A linear model of recurrent neural networks, called the Elman networks, is combined with the simple nonlinear modulo (mod) operation on its linear activated function so as to generate chaos purposely. Conditions on the weight matrix are obtained, under which the generated chaos satisfies the mathematical definition of chaos in the sense of Li and Yorke. Some simple and representative weight matrices are constructed for designing such Elman networks that can generate Li-Yorke chaos. Several numerical simulations are shown to verify and visualize the design.
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【期刊论文】CONVERGENCE AND S TABIL I TY OF RECURSIVE DAMPED L EAS T SQUARE AL GORI THM*
陈增强, Chen Zengqiang, Lin Maoqiong, Yuan Zhuzhi
Applied Mathematics and Mechanics (English Edition , Vol. 21, No.2, Feb 2000),-0001,():
-1年11月30日
The recursive least square is widely used in parameter identification. But it is easy to bring about the phenomena of parameters burst-off. A convergence analysis of a more stable identification algorithm- recursive damped least square is proposed. This is done by normalizing the measurement vector entering into the identification algorithm. It is shown that the parametric distance converges to a zero mean random variable. It is also shown that under persistent excitation condition, the condition number of the adaptation gain matrix is bounded, and the variance of the parametric distance is bounded.
system identification, damped least square, recursive algorithm, convergence, stability
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【期刊论文】Generating Chaos by an Elman Network
陈增强, Xiang Li, Zengqiang Chen, Zhuzhi Yuan, and Guanrong Chen
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 48, NO.9, SEPTEMBER 2001,-0001,():
-1年11月30日
Abstract-Anew nonlinear neuron-activation function is introduced into the framework of an Elman network, thereby enabling the neural networkto generate chaos. Basic analysis of its fixed point stability and parameter selection criterion for chaos generation is given, and is verified via simulation studies.
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