Abstract
For continuous-time random control systems, this paper introduces invariance entropy for random pairs as a measure for the amount of information necessary to achieve invariance of random weakly invariant compact subsets of the state space. For linear random control systems with compact control range, the invariance entropy is given by the sum of the real parts of the unstable eigenvalues of the uncontrolled system if we assume ergodicity.
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References
Abraham R, Marsden JE, Ratiu T (1988) Manifolds, tensor analysis and applications. Springer, Berlin
Arnold L (1998) Random dynamical systems. Springer, Berlin
Aubin JP, Frankowska H (1990) Set-valued analysis. Birkhäuser, Boston
Bogenschütz T (1992–1993) Entropy, pressure and a variational principle for random dynamical systems. Random Comput Dyn 1(1):99–116
Colonius F, Kawan C (2009) Invariance entropy for control systems. SIAM J Control Optim 48(3):1701–1721
Colonius F, Kliemann W (2000) The dynamics of control. Birkhäuser, Berlin
Driver BK (2003) Analysis tools with applications. SPIN Springer’s internal project number
Froyland G, Stancevic O (1996) Metastability. Lyapunov exponents, escape rates and topological entropy in random dynamical systems, pp 4355–4388
Kawan C (2009) Upper and lower estimates for invariance entropy. Discret Contin Dyn Syst 30:169–186
Kawan C (2009) Invariance entropy for control systems. Doctoral Thesis, University of Augsburg
Kolyada S, Snoha L (1996) Topological entropy for nonautonomous dynamical systems. Random Comput Dyn 4:205–233
Petersen K (1983) Ergodic theory. Cambridge University Press, Cambridge
Sontag ED (1990) Mathematical control theory. Springer, New York
William D (1991) Probability with martingales. Cambridge University Press, Cambridge
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Adriano J. da Silva was supported by CAPES grant no 4229/10-0.
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da Silva, A.J. Invariance entropy for random control systems. Math. Control Signals Syst. 25, 491–516 (2013). https://doi.org/10.1007/s00498-013-0111-9
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DOI: https://doi.org/10.1007/s00498-013-0111-9