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Shang F.,Shandong Jianzhu University | Shang F.,Shandong Provincial Key Laboratory of Intelligent Buildings Technology | Liu Y.-G.,Shandong University | Zhang X.-F.,Shandong University
Chinese Control Conference, CCC | Year: 2012

This paper investigates the problem of global stabilization by adaptive state feedback for a class of feedforward nonlinear systems. Different from the existing results, the systems considered have unknown control coefficient with known sign. By introducing the state transformation, the new system is obtained which is convenient for control design. Then, the estimation law for the control coefficient is constructed, and the state feedback controller is proposed with the gain updated on-line. It is shown that the global asymptotic stability of the original system can be guaranteed by appropriate choice of the dynamic gain and the estimation law for the control coefficient. Finally, a simulation example is given to illustrate the correctness of the theoretical results. © 2012 Chinese Assoc of Automati. Source


Tao L.,Shandong Jianzhu University | Tao L.,Shandong Provincial Key Laboratory of Intelligent Buildings Technology | Tong Y.J.,Shandong University of Finance and Economics | Zhao H.,Shandong Jianzhu University
Applied Mechanics and Materials | Year: 2014

X-ray Digital imaging is an innovative method of metal fusion welding quality evaluation. To improve the accuracy, the digital imaging sensitivity must be increased by studying the optimal radioactive parameters. At first, the basic elements, inherent characteristics and imaging principle have been analysed systematically. Secondly, the optimization method of sampling rate, stacking frames, focal length, cube voltage and current have been studied based on the phisical characteristic of FPD(Flat Panel Detector). At last, the method has been verified upon two platforms. The experimental results from different systems proved correctness and applicability. © (2014) Trans Tech Publications, Switzerland. Source


Shang F.,Shandong Jianzhu University | Shang F.,Shandong Provincial Key Laboratory of Intelligent Buildings Technology | Liu Y.,Shandong University | Zhang G.,Shandong Jianzhu University | Zhang G.,Shandong Provincial Key Laboratory of Intelligent Buildings Technology
Journal of Systems Science and Complexity | Year: 2015

This paper investigates adaptive state feedback stabilization for a class of feedforward nonlinear systems with zero-dynamics, unknown linear growth rate and control coefficient. For design convenience, the state transformation is first introduced and the new system is obtained. Then, the estimation law is constructed for the unknown control coefficient, and the state feedback controller is proposed with a gain updated on-line. By appropriate choice of the estimation law for the control coefficient and the dynamic gain, the states of the closed-loop system are globally bounded, and the state of the original system converges to zero. Finally, a simulation example is given to illustrate the correctness of the theoretical results. © 2015, Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg. Source


Chengdong L.,Shandong Jianzhu University | Chengdong L.,Shandong Provincial Key Laboratory of Intelligent Buildings Technology | Xiaolu Z.,Shandong Jianzhu University | Xiaolu Z.,Shandong Provincial Key Laboratory of Intelligent Buildings Technology | Jianqiang Y.,CAS Institute of Automation
Chinese Control Conference, CCC | Year: 2012

Backing up control of the truck-trailer system, which is nonlinear and unstable, is a well-known benchmark for examining the nonlinear control design techniques. This paper presents a single-input-rule-modules (SIRMs) connected type-2 fuzzy logic control scheme for this nonlinear multi-variable system. And, to improve the control performance, genetic algorithms (GAs) are adopted for the optimization of the controller parameters. At last, in order to demonstrate the effectiveness and superiority of the proposed control scheme, simulations and comparisons are given. Simulation results show that the designed fuzzy controller can smoothly achieve backing up control of the truck-trailer from all initial positions. Comparisons with type-1 fuzzy controllers demonstrate that the type-2 fuzzy controller with more parameters can provide better performance. © 2012 Chinese Assoc of Automati. Source


Shang F.,Shandong Jianzhu University | Shang F.,Shandong Provincial Key Laboratory of Intelligent Buildings Technology | Liu Y.-G.,Shandong University | Zhang G.-Q.,Shandong Jianzhu University | And 2 more authors.
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2011

This paper investigates the problem of adaptive disturbance attenuation by output feedback for a class of nonlinear systems with unmeasured states dependent growth. Different from the existing references, the systems studied have more unknown parameters, especially uncertain control coefficients. To solve this problem, the dynamic high-gain K-filters are introduced, and a state observer is constructed based on the K-filters. In output feedback controller design process, to-be-determined design parameters are introduced, to add the design freedom. It is shown that the global stability of the closed-loop system can be guaranteed by the appropriate choice of the dynamic gain of the K-filters and the design parameters, and hence disturbance attenuation is achieved in the sense of L 2-gain. Copyright © 2011 Acta Automatica Sinica. All rights reserved. Source

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