

FOLLOWUS
1.State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou~310027, China
2.College of Electrical Engineering, Zhejiang University, Hangzhou~310027, China
Mei-qin LIU, E-mail: liumeiqin@zju.edu.cn
[ "Hai-yang CHEN, E-mail: zjdxchy163@163.com" ]
[ "Sen-lin ZHANG, E-mail: slzhang@zju.edu.cn" ]
Received:10 February 2015,
Revised:2015-08-14,
Published:2015-12
Scan QR Code
LIU Mei-qin, CHEN Hai-yang, ZHANG Sen-lin. ${\mathit{\boldsymbol{H}}_\infty }$ reference tracking control design for a class of nonlinear systems with time-varying delays[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(9): 759-768.
LIU Mei-qin, CHEN Hai-yang, ZHANG Sen-lin. ${\mathit{\boldsymbol{H}}_\infty }$ reference tracking control design for a class of nonlinear systems with time-varying delays[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(9): 759-768. DOI: 10.1631/FITEE.1500053.
目的
2
针对一类具有时变时滞的非线性系统,设计状态控制器实现闭环系统输出对参考轨迹的
H
∞
跟踪。
创新点
2
利用统一模型表示所研究的时变时滞非线性系统,修正参考模型使其更具一般性,引入缩放系数提高系统的跟踪精度。
方法
2
采用一个由线性时滞动态系统和有界静态非线性项组成的统一模型来描述所要研究的时变时滞非线性系统。完成系统建模后,首先给出参考轨迹跟踪的定义,以修正后的跟踪模型为参考轨迹,采用状态反馈法实现闭环控制(图1)。并对闭环系统的
H
∞
性能进行分析,基于此分析结果推导得到以线性矩阵不等式形式表示的跟踪控制器参数所满足的条件。该条件可以确保闭环系统
H
∞
意义下跟踪给定的参考信号。在控制器设计中引入缩放系数以提高跟踪精度。图2和图4分别给出跟踪控制器对正弦信号和方波信号的
H
∞
跟踪;图3和图5则分别表示在正弦参考信号和方波参考信号输入下,缩放系数的变大对提高跟踪效果的具体影响。
结论
2
针对一类具有时变时滞的非线性系统,以修正后的跟踪模型为参考轨迹,设计状态反馈控制器实现闭环系统输出对参考轨迹的
H
∞
跟踪,并可通过增大缩放系数提高跟踪效果。
This paper investigates the $H_{\infty}$ trajectory tracking control for a class of nonlinear systems with time-varying delays by virtue of Lyapunov-Krasovskii stability theory and the linear matrix inequality (LMI) technique. A unified model consisting of a linear delayed dynamic system and a bounded static nonlinear operator is introduced
which covers most of the nonlinear systems with bounded nonlinear terms
such as the one-link robotic manipulator
chaotic systems
complex networks
the continuous stirred tank reactor (CSTR)
and the standard genetic regulatory network (SGRN). First
the definition of the tracking control is given. Second
the $H_{\infty}$ performance analysis of the closed-loop system including this unified model
reference model
and state feedback controller is presented. Then criteria on the tracking controller design are derived in terms of LMIs such that the output of the closed-loop system tracks the given reference signal in the $H_{\infty}$ sense. The reference model adopted here is modified to be more flexible. A scaling factor is introduced to deal with the disturbance such that the control precision is improved. Finally
a CSTR system is provided to demonstrate the effectiveness of the established control laws.
C.K. Ahn . Takagi-Sugeno fuzzy receding horizon H ∞ chaotic synchronization and its application to the Lorenz system . Nonl. Anal. Hybr. Syst. , 2013 . 9 ( 1 ): 1 - 8 . DOI: 10.1016/j.nahs.2013.01.002 http://doi.org/10.1016/j.nahs.2013.01.002 .
S. Boyd , L. Ghaoui , E. Feron , 等 . Linear Matrix Inequalities in System and Control Theory , : SIAM, Philadelphia, USA 1994 .
Y.Y. Cao , P.M. Frank . Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach . IEEE Trans. Fuzzy Syst. , 2000 . 8 ( 2 ): 200 - 211 . DOI: 10.1109/91.842153 http://doi.org/10.1109/91.842153 .
Y. Chen , W. Zheng . L 2 - L filtering for stochastic Markovian jump delay systems with nonlinear perturbations . Signal Process. , 2014 . 109 154 - 164 . DOI: 10.1016/j.sigpro.2014.11.006 http://doi.org/10.1016/j.sigpro.2014.11.006 .
Y. Chen , A. Xue , M. Ge , 等 . On exponential stability for systems with state delays . J. Zhejiang Univ. -Sci. A , 2007 . 8 ( 8 ): 1296 - 1303 . DOI: 10.1631/jzus.2007.A1296 http://doi.org/10.1631/jzus.2007.A1296 .
J. Feng , Z. Tang , Y. Zhao , 等 . Cluster synchronisation of non-linearly coupled Luroe networks with identical and non-identical nodes and an asymmetrical coupling matrix . IET Contr. Theory Appl. , 2013 . 7 ( 18 ): 2117 - 2127 . DOI: 10.1049/iet-cta.2013.0233 http://doi.org/10.1049/iet-cta.2013.0233 .
X. Guan , C. Chen . Adaptive fuzzy control for chaotic systems with H ∞ tracking performance . Fuzzy Sets Syst. , 2003 . 139 ( 1 ): 81 - 93 . DOI: 10.1016/S0165-0114(02)00573-0 http://doi.org/10.1016/S0165-0114(02)00573-0 .
F. Hsiao . Robust H ∞ fuzzy control of dithered chaotic systems . Neurocomputing , 2013 . 99 509 - 520 . DOI: 10.1016/j.neucom.2012.08.003 http://doi.org/10.1016/j.neucom.2012.08.003 .
X. Jin , G. Yang , P. Li . Robust adaptive tracking control of distributed delay systems with actuator and communication failures . Asian J. Contr. , 2012 . 14 ( 5 ): 1282 - 1298 . DOI: 10.1002/asjc.389 http://doi.org/10.1002/asjc.389 .
T. Lee , J. Park , O. Kwon , 等 . Stochastic sampleddata control for state estimation of time-varying delayed neural networks . Neur. Netw. , 2013 . 46 99 - 108 . DOI: 10.1016/j.neunet.2013.05.001 http://doi.org/10.1016/j.neunet.2013.05.001 .
L. Li , W. Wang . Fuzzy modeling and H ∞ control for general 2D nonlinear systems . Fuzzy Sets Syst. , 2012 . 207 1 - 26 . DOI: 10.1016/j.fss.2012.04.002 http://doi.org/10.1016/j.fss.2012.04.002 .
M. Liu , S. Zhang , Z. Fan , 等 . Exponential H ∞ synchronization and state estimation for chaotic systems via a unified model . IEEE Trans. Neur. Netw. Learn. Syst. , 2013 . 24 ( 7 ): 1124 - 1126 . DOI: 10.1109/TNNLS.2013.2251000 http://doi.org/10.1109/TNNLS.2013.2251000 .
M. Liu , S. Zhang , H. Chen , 等 . H ∞ output tracking control of discrete-time nonlinear systems via standard neural network models . IEEE Trans. Neur. Netw. Learn. Syst. , 2014 . 25 ( 10 ): 1928 - 1935 . DOI: 10.1109/TNNLS.2013.2295846 http://doi.org/10.1109/TNNLS.2013.2295846 .
P. Liu , T. Chiang . H ∞ output tracking fuzzy control for nonlinear systems with time-varying delays . Appl. Soft Comput. , 2012 . 12 ( 9 ): 2963 - 2972 . DOI: 10.1016/j.asoc.2012.04.025 http://doi.org/10.1016/j.asoc.2012.04.025 .
D. Nodland , H. Zargarzadeh , S. Jagannathan . Neural network-based optimal adaptive output feedback control of a helicopter UAV . IEEE Trans. Neur. Netw. Learn. Syst. , 2013 . 24 ( 7 ): 1061 - 1073 . DOI: 10.1109/TNNLS.2013.2251747 http://doi.org/10.1109/TNNLS.2013.2251747 .
P. Park , J. Co , C. Jeong . Reciprocally convex approach to stability of systems with time-varying delays . Automatica , 2010 . 47 ( 1 ): 235 - 238 . DOI: 10.1016/j.automatica.2010.10.014 http://doi.org/10.1016/j.automatica.2010.10.014 .
C. Peng , Q. Han , D. Yue , 等 . Sampled-data robust H ∞ control for T-S fuzzy systems with time delay and uncertainties . Fuzzy Sets Syst. , 2011 . 179 ( 1 ): 20 - 23 . DOI: 10.1016/j.fss.2011.05.001 http://doi.org/10.1016/j.fss.2011.05.001 .
J. Suykens , J. Vandewalle , B. de Moor . Artificial Neural Networks for Modelling and Control of Nonlinear Systems , : London Springer , 1996 .
C. Yang . One input control of exponential synchronization for a four-dimensional chaotic system . Appl. Math. Comput. , 2012 . 219 ( 10 ): 5152 - 5161 . DOI: 10.1016/j.amc.2012.11.003 http://doi.org/10.1016/j.amc.2012.11.003 .
X. Yang , D. Liu , Y. Huang . Neural-networkbased online optimal control for uncertain non-linear continuous-time systems with control constraints . IET Contr. Theory Appl. , 2013 . 7 ( 17 ): 2037 - 2047 . DOI: 10.1049/iet-cta.2013.0472 http://doi.org/10.1049/iet-cta.2013.0472 .
Y. Yang , J. Wu , W. Zheng . Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control . J. Zhejiang Univ.-Sci. C (Comput. & Electron.) , 2012 . 13 ( 7 ): 534 - 543 . DOI: 10.1631/jzus.C1100371 http://doi.org/10.1631/jzus.C1100371 .
C. Yao , Q. Zhao , J. Yu . Complete synchronization induced by disorder in coupled chaotic lattices . Phys. Lett. A , 2012 . 377 ( 5 ): 370 - 377 . DOI: 10.1016/j.physleta.2012.12.004 http://doi.org/10.1016/j.physleta.2012.12.004 .
D. Zhang , L. Yu . H ∞ output tracking control for neutral systems with time-varying delay and nonlinear perturbations . Commun. Nonl. Sci. Numer. Simul. , 2009 . 15 ( 11 ): 3284 - 3292 . DOI: 10.1016/j.cnsns.2009.12.032 http://doi.org/10.1016/j.cnsns.2009.12.032 .
G. Zhang , Y. Shen , L. Wang . Global antisynchronization of a class of chaotic memristive neural networks with time-varying delays . Neur. Netw. , 2013 . 46 1 - 8 . DOI: 10.1016/j.neunet.2013.04.001 http://doi.org/10.1016/j.neunet.2013.04.001 .
H. Zhang , Y. Shi , M. Liu . H ∞ step tracking control for networked discrete-time nonlinear systems with integral and predictive actions . IEEE Trans. Ind. Inform. , 2013a . 9 ( 1 ): 337 - 345 . DOI: 10.1109/TII.2012.2225434 http://doi.org/10.1109/TII.2012.2225434 .
H. Zhang , Y. Shi , M. Xu , 等 . Observerbased tracking controller design for networked predictive control systems with uncertain Markov delays. Proc . 36th American Control Conf. , 2013b . p.5682 - 5687 . DOI: 10.1109/ACC.2012.6315295 http://doi.org/10.1109/ACC.2012.6315295 .
B. Zhu , Q. Zhang , C. Chang . Delay-dependent dissipative control for a class of nonlinear system via Takagi-Sugeno fuzzy descriptor model with time delay . IET Contr. Theory Appl. , 2014 . 8 ( 7 ): 451 - 461 . DOI: 10.1049/iet-cta.2013.0438 http://doi.org/10.1049/iet-cta.2013.0438 .
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621