In this paper, we propose a decentralized variable gain robust controller which achieves not only robust stability but also satisfactory transient behavior for a class of uncertain large-scale interconnected systems. For the uncertain large-scale interconnected system, the uncertainties and the interactions satisfy the matching condition. The proposed decentralized robust controller consists of a fixed feedback gain controller and a variable gain one determined by a parameter adjustment law. In this paper, we show that sufficient conditions for the existence of the proposed decentralized variable gain robust controller are given in terms of LMIs. Finally, a simple numerical example is included. 1. Introduction To design control systems, it is necessary to derive a mathematical model for controlled systems. However, there always exist some gaps between the mathematical model and the controlled system; that is, uncertainties between actual systems and mathematical models are unavoidable. Hence for dynamical systems with uncertainties, so-called robust controller design methods have been well studied in the past thirty years, and there are a large number of studies for linear uncertain dynamical systems (e.g., see [1, 2] and references therein). In particular for uncertain linear systems, several quadratic stabilizing controllers and one have been suggested (e.g., [3–5]), and a connection between control and quadratic stabilization has also been established [6]. In addition, several design methods of variable gain controllers for uncertain continuous-time systems have been shown (e.g., [7–9]). These robust controllers are composed of a fixed gain controller and a variable gain one, and variable gain controllers are tuned by updating laws. Especially, in Oya and Hagino [8] the error signal between the desired trajectory and the actual response is introduced and the variable gain controller is determined so as to reduce the effect of uncertainties. On the other hand, the decentralized control for large-scale interconnected systems has been widely studied, because large-scale interconnected systems can be seen in such diverse fields as economic systems, electrical systems, and so on. A large number of results in decentralized control systems can be seen in ?iljak [10]. A framework for the design of decentralized robust model reference adaptive control for interconnected time-delay systems has been considered in the work of Hua et al. [11] and decentralized fault tolerant control problem has also been studied [12]. Additionally, there are many existing results
References
[1]
K. Zhou, J. C. Doyle, and K. Glover, Robust and Optimal Control, Prentice Hall, 1996.
[2]
K. Zhou, Essentials of Robust Control, Prentice Hall, 1998.
[3]
I. R. Petersen, “A Riccati equation approach to the design of stabilizing controllers and observers for a class of uncertain linear systems,” IEEE Transactions on Automatic Control, vol. 30, no. 9, pp. 904–907, 1985.
[4]
W. E. Schmitendorf, “Designing stabilizing controllers for uncertain systems using the Riccati equation approach,” IEEE Transactions on Automatic Control, vol. 33, no. 4, pp. 376–379, 1988.
[5]
J. C. Doyle, K. Glover, P. P. Khargonekar, and B. A. Francis, “State-space solutions to standard and control problems,” IEEE Transactions on Automatic Control, vol. 34, no. 8, pp. 831–847, 1989.
[6]
P. P. Khargonekar, I. R. Petersen, and K. Zhou, “Robust stabilization of uncertain linear systems: quadratic stabilizability and control theory,” IEEE Transactions on Automatic Control, vol. 35, no. 3, pp. 356–361, 1990.
[7]
M. Maki and K. Hagino, “Robust control with adaptation mechanism for improving transient behaviour,” International Journal of Control, vol. 72, no. 13, pp. 1218–1226, 1999.
[8]
H. Oya and K. Hagino, “Robust control with adaptive compensation input for linear uncertain systems,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, no. 6, pp. 1517–1524, 2003.
[9]
H. Oya and Y. Uehara, “Synthesis of variable gain controllers based on LQ optimal control for a class of uncertain linear systems,” in Proceedings of the UKACC International Conference on Control (CONTROL '12), pp. 87–91, Cardiff, UK, September 2012.
[10]
D. D. ?iljak, Decentralized Control of Complex Systems, vol. 184 of Mathematics in Science and Engineering, Academic Press, Boston, Mass, USA, 1991.
[11]
C. Hua, X. Guan, and P. Shi, “Decentralized robust model reference adaptive control for interconnected time-delay systems,” Journal of Computational and Applied Mathematics, vol. 193, no. 2, pp. 383–396, 2006.
[12]
D. Xu, B. Jiang, H. Liu, and P. Shi, “Decentralized asymptotic fault tolerant control of near space vehicle with high order actuator dynamics,” Journal of the Franklin Institute, vol. 350, no. 9, pp. 2519–2534, 2013.
[13]
C. J. Mao and W.-S. Lin, “Decentralized control of interconnected systems with unmodelled nonlinearity and interaction,” Automatica, vol. 26, no. 2, pp. 263–268, 1990.
[14]
C. J. Mao and J.-H. Yang, “Decentralized output tracking for linear uncertain interconnected systems,” Automatica, vol. 31, no. 1, pp. 151–154, 1995.
[15]
Z. Gong, “Decentralized robust control of uncertain interconnected systems with prescribed degree of exponential convergence,” IEEE Transactions on Automatic Control, vol. 40, no. 4, pp. 704–707, 1995.
[16]
H. Oya and K. Hagino, “Trajectory-based design of robust non-fragile controllers for a class of uncertain linear continuous-time systems,” International Journal of Control, vol. 80, no. 12, pp. 1849–1862, 2007.
[17]
H. Mukaidani, Y. Takato, Y. Tanaka, and K. Mizukami, “The guaranteed cost control for uncertain large-scale interconnected systems,” in Proceedings of the Preprints of the 15th IFAC World Congress, Barcelona, Spain, 2002.
[18]
H. Mukaidani, M. Kimoto, and T. Yamamoto, “Decentralized guaranteed cost control for discrete-time uncertain large-scale systems using fuzzy control,” in Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 635–641, Vancouver, Canada, July 2006.
[19]
F. R. Gantmacher, The Theory of Matrices, vol. 1, Chelsea Publishing, Providence, RI, USA, 1960.
[20]
S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, vol. 15 of SIAM Studies in Applied Mathematics, SIAM, Philadelphia, Pa, USA, 1994.