Map Invariance and the State Reconstruction Problem for Nonlinear Discrete-time Systems

被引:4
|
作者
Kazantzis, Nikolas [1 ]
机构
[1] Worcester Polytech Inst, Dept Chem Engn, Worcester, MA 01609 USA
基金
美国国家科学基金会;
关键词
nonlinear systems; nonlinear observers; map invariance; invariant manifolds; reduced-order observer design; discrete-time systems; OBSERVER DESIGN; FEEDBACK LINEARIZATION; ZERO-DYNAMICS; NORMAL-FORM; ASSIGNMENT; EXISTENCE; PDES;
D O I
10.3166/EJC.15.105-119
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The role of map invariance is examined within the context of the dynamic state reconstruction problem for nonlinear discrete-time systems. In particular, the key notion of invariant manifold for maps in nonlinear discrete-time dynamics is shown to be conceptually insightful and technically quite effective to address important issues related to the deterministic observer-based nonlinear state estimation problem ill the discrete-tune domain. As a necessary,first methodological,step, the problem of quantitatively characterizing the asymptotic long-term behavior of nonlinear discrete-time systems with a skew-product structure using the notion of map invariance is revisited. The formulation of this problem can be naturally realized through a system of invariance functional equations (FEs), for which a set of existence and uniqueness conditions of a solution is provided. Under a certain set of conditions, it is shown that the invariant manifold computed attracts all system trajectories/orbits, and therefore, the asymptotic long-term dynamic behavior of the system is determined through the restriction of the discrete-titre system dynamic's oil the invariant manifold. Within the above analytical framework, the nonlinear full-order observer design problem in the discrete-time domain is considered, appropriately formulated and all interpretation of previous work oil the problem is attempted through the notion of invariant manifolds for maps. Furthermore, this framework allows the development of a new approach to the nonlinear reduced-order observer design problem for
引用
收藏
页码:105 / 119
页数:15
相关论文
共 50 条
  • [41] State estimation for discrete-time systems with generalized Lipschitz nonlinear dynamics
    Dazhong Wang
    Fang Song
    Wei Zhang
    Advances in Difference Equations, 2015
  • [42] State-dependent LMI control of discrete-time nonlinear systems
    Mohseni, J
    Yaz, E
    Olejniczak, K
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 4626 - 4627
  • [43] Identifiability of discrete-time nonlinear systems: The local state isomorphism approach
    Anstett, Floriane
    Bloch, Gerard
    Millerioux, Gilles
    Denis-Vidal, Lilianne
    AUTOMATICA, 2008, 44 (11) : 2884 - 2889
  • [44] State and output feedback stabilization of a class of discrete-time nonlinear systems
    Bouazza, KE
    Boutayeb, M
    Darouach, M
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 3023 - 3028
  • [45] H∞ Filtering for Nonlinear Discrete-time Singular Systems in Encrypted State
    Zhao, Xin-Yue
    Chang, Xiao-Heng
    NEURAL PROCESSING LETTERS, 2023, 55 (03) : 2843 - 2866
  • [46] Input-to-state stability for discrete-time stochastic nonlinear systems
    Zhao, Ping
    Zhao, Yan
    Guo, Rongwei
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 1799 - 1803
  • [47] ON THE OPTIMAL STATE ESTIMATION OF A CLASS OF DISCRETE-TIME NONLINEAR-SYSTEMS
    YAZ, E
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1987, 34 (09): : 1127 - 1129
  • [48] Theory and applications of flat nonlinear discrete-time systems in state representation
    Kolar, Bernd
    Diwold, Johannes
    Schoeberl, Markus
    AT-AUTOMATISIERUNGSTECHNIK, 2021, 69 (07) : 574 - 584
  • [49] Robust discrete-time nonlinear sliding mode state estimation of uncertain nonlinear systems
    Veluvolu, K. C.
    Soh, Y. C.
    Cao, W.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2007, 17 (09) : 803 - 828
  • [50] Dynamic disturbance decoupling for discrete-time nonlinear systems: A solution in terms of generalized controlled invariance
    ArandaBricaire, E
    Kotta, U
    PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1996, : 4317 - 4318