Abstract
This chapter consists primarily of some background material, with the selection of topics being dictated by our later needs. We introduce some notation and definitions that will be used throughout the book, recall some definitions and properties of semigroup operators and infinitesimal generators, and present some fundamental results on the existence and uniqueness of solutions of a differential equation. We also recall some basic definitions and results on continuous-time Markov chains with finite state space and introduce the spaces that are appropriate for our approach. Finally, we show some important auxiliary results regarding the stability of some operators and recall some basic facts regarding linear matrix inequalities.
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References
W.J. Anderson, Continuous-Time Markov Chains; An Application Oriented Approach (Springer, New York, 1991)
S. Boyd, L.E. Ghaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory (SIAM, Philadelphia, 1994)
J.W. Brewer, Kronecker products and matrix calculus in system theory. IEEE Transactions on Circuits and Systems CAS-25, 772–781 (1978)
F.M. Callier, C.A. Desoer, Linear System Theory (Springer, Berlin, 1999)
S.L. Campbell, C.D. Meyer Jr., Generalized Inverses of Linear Transformations (Dover, New York, 1991)
C.G. Cassandras, J. Lygeros, Stochastic Hybrid Systems (Taylor & Francis, Boca Raton, 2007)
D.R. Cox, H.D. Miller, The Theory of Stochastic Processes (Chapman & Hall, London, 1965)
R.J. Elliott, L. Aggoun, J.B. Moore, Hidden Markov Models: Estimation and Control (Springer, New York, 1995)
J.C. Geromel, A.P.C. Gonçalves, A.R. Fioravanti, Dynamic output feedback control of discrete-time Markov jump linear systems through linear matrix inequalities. SIAM Journal on Control and Optimization 48, 573–593 (2009)
A.W. Naylor, G.R. Sell, Linear Operator Theory in Engineering and Science, 2nd edn. (Springer, Berlin, 1982)
E. Pardoux, Markov Processes and Applications: Algorithms, Networks, Genome and Finance (Wiley, Chichester, 2008)
A. Pazy, Semigroups of Linear Operators and Applications to Partial Differential Equations (Springer, Berlin, 1983)
A. Saberi, P. Sannuti, B.M. Chen, H 2 -optimal Control (Prentice Hall, New York, 1995)
J.G. van Antwerp, R.D. Braatz, A tutorial on linear and bilinear matrix inequalities. Journal of Process Control 10, 363–385 (2000)
J. Weidmann, Linear Operators in Hilbert Spaces (Springer, Berlin, 1980)
W.M. Wonham, On a matrix Riccati equation of stochastic control. SIAM Journal on Control 6, 681–697 (1968)
G. Yin, Q. Zhang, Continuous-Time Markov Chains and Applications: A Singular Perturbation Approach (Springer, New York, 1998)
G. Yin, C. Zhu, Hybrid Switching Diffusions (Springer, New York, 2010)
J. Zabczyk, Mathematical Control Theory: An Introduction (Birkhäuser, Boston, 1992)
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Costa, O., Fragoso, M., Todorov, M. (2013). A Few Tools and Notations. In: Continuous-Time Markov Jump Linear Systems. Probability and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34100-7_2
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DOI: https://doi.org/10.1007/978-3-642-34100-7_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34099-4
Online ISBN: 978-3-642-34100-7
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