Abstract
This paper is concerned with the design problem of generalized H2 static output feedback (SOF) for continuous-time systems. Due to the fact that SOF control is the simplest closed-loop control and the controller can be easily implemented in practice, the design of SOF controllers has attracted considerable attention. However, analytic solutions were generally given in terms of bilinear matrix inequalities (BMIs). Moreover, how to efficiently solve the BMIs is still a challenging problem. In this paper, a virtual output generator is used such that the states follow the input of the generator. The design of SOF controllers is converted into a design of state feedback controllers. In order to suppress the external disturbance, we adopt the generalized H2 (energy-to-peak) performance index. Sufficient conditions for the existence of the controller and for the solvability of the addressed problem are given in terms of a set of linear matrix inequalities (LMIs).
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References
Abbaszadeh, M., Marquez, H.J.: LMI optimization approach to robust H ∞  observer design and static output feedback stabilization for discrete-time nonlinear uncertain systems. Int. J. Robust Nonlinear Control 19, 313–340 (2009)
Cao, Y.Y., Lam, J., Sun, Y.X.: Static output feedback simultaneous stabilization: ILMI approach. Automatica 34(12), 1641–1645 (1998)
Edwards, C., Spurgeon, S.K., Akoachere, A.: A sliding mode static output feedback controller based on linear matrix inequalities applied to an aircraft system. J. Dyn. Syst. Meas. Contr. 122, 656–662 (2000)
El Ghaoui, L., Oustry, F., Ait Rami, M.: Acone complementarity linearization algorithm for static output-feedback and related problems. IEEE Trans. Autom. Control 42(8), 1171–1176 (1997)
Grigoriadis, K.M., Watson, J.T.: Reduced-order H ∞  and L2 – L ∞  filtering via linear matrixinequalities. IEEE Trans. Aerospace Electronic Syst. 33(4), 1326–1338 (1997)
He, Y., Wang, Q.G.: An improved ILMI method for static output feedback control with application to multivariable PID control. IEEE Trans. Autom. Control 51(10), 1678–1683 (2006)
Palhares, R.M., Peres, P.L.D.: Robust filtering with guaranteed energy-to-peak performance-an LMI approach. Automatica 36(6), 851–858 (2000)
Prempain, E., Postlethwaite, I.: Static loop shaping control of a fly-by-wire heli-copter. Automatica 41(9), 1517–1528 (2005)
Shaked, U.: An LPD approach to robust H2 and H ∞  static output-feedback design. IEEE Trans. Autom. Control 48(5), 866–872 (2003)
Zhang, H., Mehr, A.S., Shi, Y.: Improved robust energy-to-peak filtering for uncertain linear systems. Signal Process. 9(90), 2667–2675 (2010)
Zhang, H., Shi, Y., Mehr, A.S.: Robust energy-to-peak filtering for networked systems with time-varying delays and randomly missing data. IET Control Theory Appl. 4(12), 2921–2936 (2010)
Zhang, H., Shi, Y., Mehr, A.S.: Robust non-fragile dynamic vibration absorbers with uncertain factors. J. Sound Vibration 4(330), 559–566 (2011)
Zhang, H., Shi, Y., Mehr, A.S.: Robust weighted H ∞  filtering for networked systems with intermittent measurements of multiple sensors. Int. J. Adapt. Control 4(25), 313–330 (2011)
Zhang, H., Shi, Y., Mehr, A.S.: Robust H ∞  PID control for multivariable networked control systems with disturbance/noise attenuation. Int. J. Robust Non-linear Control (2011), doi:101002/rnc1688
Zhang, H., Shi, Y., Mehr, A.S.: Robust static output feedback control and remote PID design for networked motor systems. IEEE Trans. Ind. Electron. (2011), doi:101109/TIE20112107720
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Zhaojian, W., Jianwei, Z., Shuang, C. (2012). Generalized H2 Static Output Feedback Control for Continuous-Time Systems. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_142
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DOI: https://doi.org/10.1007/978-3-642-27552-4_142
Publisher Name: Springer, Berlin, Heidelberg
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