Annular finite-time stability analysis and synthesis of stochastic linear time-varying systems

In this paper, we investigate some finite-time control problems for stochastic linear time-varying systems, described by an Itô type differential equation. In particular, the annular stochastic finite-time stability control problem is dealt with. In this context, it is required that the norm of the state variables remains bounded between an inner and an outer ellipsoid, during a finite-interval of time. The first contribution of the paper consists of two sufficient conditions for stability, which are derived by exploiting an approach based on time-varying quadratic Lyapunov functions. The first condition requires the solution of two generalised differential Lyapunov equations; the latter the existence of a feasible solution to a pair of differential linear matrix inequalities. As particular cases, we obtain sufficient conditions for stochastic finite-time stability (in this last case, the lower ellipsoid collapses to the origin). From the analysis conditions, a sufficient condition is derived for the annular stochastic finite-time stabilisation via both state and output feedback. Some numerical examples illustrate the application of the proposed methodology and show that our approach attains less conservative results than those obtainable with the existing literature. Moreover, an application of the annular stochastic finite-time stability approach to the stabilisation problem of a satellite with respect to the geomagnetic field is presented.

[1]  Francesco Amato,et al.  Input-output finite time stabilization of linear systems , 2010, Autom..

[2]  G. Smith Effects of magnetically induced eddy-current torques on spin motions of an earth satellite , 1965 .

[3]  El Kebir Boukas,et al.  Static output feedback control for stochastic hybrid systems: LMI approach , 2006, Autom..

[4]  Weihai Zhang,et al.  Finite‐Time Stability and Stabilization of Linear Itô Stochastic Systems with State and Control‐Dependent Noise , 2013 .

[5]  R. Braatz,et al.  A tutorial on linear and bilinear matrix inequalities , 2000 .

[6]  Dennis S. Bernstein,et al.  Finite-Time Stability of Continuous Autonomous Systems , 2000, SIAM J. Control. Optim..

[7]  Peter Sagirow Stochastic Methods in the Dynamics of Satellites , 1970 .

[8]  Francesco Amato,et al.  Robust finite-time stabilisation of uncertain linear systems , 2011, Int. J. Control.

[9]  G. Parisi Brownian motion , 2005, Nature.

[10]  A. Chulliat,et al.  The US/UK World Magnetic Model for 2015-2020 , 2015 .

[11]  Alan J. Laub,et al.  The LMI control toolbox , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[12]  Francesco Amato,et al.  Finite-Time Stability and Control , 2013 .

[13]  G. Winkler,et al.  The Stochastic Integral , 1990 .

[14]  Ruth F. Curtain,et al.  Linear-quadratic control: An introduction , 1997, Autom..

[15]  Victor M. Becerra,et al.  Optimal control , 2008, Scholarpedia.

[16]  Francesco Amato,et al.  Annular Finite-Time Stabilization of Stochastic Linear Time-Varying Systems , 2018, 2018 IEEE Conference on Decision and Control (CDC).

[17]  Zhihong Man,et al.  Finite-time stability and instability of stochastic nonlinear systems , 2011, Autom..

[18]  Ying-Xu Yang,et al.  Finite-time stability and stabilization of nonlinear stochastic hybrid systems☆ , 2009 .

[19]  J. Doyle,et al.  Essentials of Robust Control , 1997 .

[20]  Fei Liu,et al.  Stochastic Finite-Time Stabilization for Uncertain Jump Systems via State Feedback , 2010 .

[21]  P. Dorato SHORT-TIME STABILITY IN LINEAR TIME-VARYING SYSTEMS , 1961 .

[22]  Francesco Amato,et al.  New conditions for annular finite-time stability of linear systems , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[23]  Fei Liu,et al.  Finite-time filtering for non-linear stochastic systems with partially known transition jump rates , 2010 .

[24]  Lawrence F. Shampine,et al.  The MATLAB ODE Suite , 1997, SIAM J. Sci. Comput..

[25]  Francesco Amato,et al.  Finite-time control of linear systems subject to parametric uncertainties and disturbances , 2001, Autom..

[26]  Francesco Amato,et al.  Finite-Time Stability of Linear Time-Varying Systems: Analysis and Controller Design , 2010, IEEE Transactions on Automatic Control.

[27]  Carlo Cosentino,et al.  Finite-time stabilization via dynamic output feedback, , 2006, Autom..

[28]  J. Mendel,et al.  SPECIAL ISSUE ON LINEAR-QUADRATIC-GAUSSJAN PROBLEM , 1971 .

[29]  M. A. Athans,et al.  The role and use of the stochastic linear-quadratic-Gaussian problem in control system design , 1971 .

[30]  B. Øksendal Stochastic differential equations : an introduction with applications , 1987 .

[31]  Francesco Amato,et al.  New conditions for the finite-time stability of stochastic linear time-varying systems , 2015, 2015 European Control Conference (ECC).

[32]  Sophie Tarbouriech,et al.  Finite-Time Stabilization of Linear Time-Varying Continuous Systems , 2009, IEEE Transactions on Automatic Control.

[33]  Li Liu,et al.  Finite-time stability of linear time-varying singular systems with impulsive effects , 2008, Int. J. Control.

[34]  Kiyosi Itô 109. Stochastic Integral , 1944 .

[35]  P. Protter Stochastic integration and differential equations , 1990 .