Observer-based trajectory tracking control with preview action for a class of discrete-time Lipschitz nonlinear systems and its applications

In this article, the observer-based preview tracking control problem is investigated for a class of discrete-time Lipschitz nonlinear systems. To convert the observer-based trajectory tracking problem into a regulation problem, the classical difference technique is used to construct an augmented error system containing tracking error signal and previewable reference knowledge. Then, a state feedback controller with specific structures is taken into consideration. Sufficient design condition is established, based on the Lyapunov function approach, to guarantee the asymptotic stability of the closed-loop system. By means of some special mathematical derivations, the bilinear matrix inequality condition is successfully transformed into a tractable linear matrix inequality. Meanwhile, the gains of both observer and tracking controller can be computed simultaneously only in one step. As for the original system, the developed tracking control law is composed of an integrator, an observer-based state feedback controller, and a preview action term related to the reference signal. Finally, two numerical examples are provided to demonstrate the effectiveness of the theoretical method.

[1]  Assem Thabet Adaptive-state feedback control for Lipschitz nonlinear systems in reciprocal-state space: Design and experimental results , 2019, J. Syst. Control. Eng..

[2]  Fucheng Liao,et al.  Design of an optimal preview controller for linear discrete-time descriptor systems with state delay , 2015, Int. J. Syst. Sci..

[3]  Salim Ibrir,et al.  Novel LMI conditions for observer-based stabilization of Lipschitzian nonlinear systems and uncertain linear systems in discrete-time , 2008, Appl. Math. Comput..

[4]  Zhan Li,et al.  Sampled-data switched control for flexible air-breathing hypersonic vehicles , 2013, J. Syst. Control. Eng..

[5]  Keum-Shik Hong,et al.  Stabilization and tracking control for a class of nonlinear systems , 2011 .

[6]  Chun-Yi Su,et al.  Observer-based control of discrete-time Lipschitzian non-linear systems: application to one-link flexible joint robot , 2005 .

[7]  Liao Fu-chen Optimal preview control based on state observers for linear discrete-time systems , 2014 .

[8]  Masayoshi Tomizuka,et al.  On the optimal digital state vector feedback controller with integral and preview actions , 1979 .

[9]  Xi Li,et al.  Delay-dependent robust H control of uncertain linear state-delayed systems , 1999, Autom..

[10]  Akhilesh Swarup,et al.  Optimal preview control: A review , 2015 .

[11]  Xiufeng Miao,et al.  Observers design for a class of Lipschitz discrete-time systems , 2015, IMA J. Math. Control. Inf..

[12]  M. C. D. Oliveiraa,et al.  A new discrete-time robust stability condition ( , 1999 .

[13]  Jun Zhao,et al.  H ∞  output tracking control for discrete‐time switched systems via output feedback , 2015 .

[14]  Wang Zhi-sheng Information fusion optimal preview control for nonlinear discrete system , 2008 .

[15]  M. Tomizuka Optimal continuous finite preview problem , 1975 .

[16]  Fucheng Liao,et al.  Preview tracking control for discrete-time nonlinear Lur’e systems with sector-bounded nonlinearities , 2018, Trans. Inst. Meas. Control.

[17]  Isaac Yaesh,et al.  H∞ tracking of linear continuous‐time systems with stochastic uncertainties and preview , 2004 .

[18]  Li Li,et al.  Parameter-dependent preview control with robust tracking performance , 2017 .

[19]  Masayoshi Tomizuka,et al.  “Optimum Linear Preview Control With Application to Vehicle Suspension”—Revisited , 1976 .

[20]  Ju H. Park,et al.  Robust static output feedback H∞ control for uncertain fuzzy systems , 2015, Fuzzy Sets Syst..

[21]  Michael Basin,et al.  Improved Robust Speed Tracking Controller Design for an Integrated Motor-Transmission Powertrain System Over Controller Area Network , 2018, IEEE/ASME Transactions on Mechatronics.

[22]  Hongming Gao,et al.  Multi-Objective Fault-Tolerant Output Tracking Control of a Flexible Air-Breathing Hypersonic Vehicle , 2010 .

[23]  T. Katayama,et al.  Design of an optimal controller for a discrete-time system subject to previewable demand , 1985 .

[24]  Wook Hyun Kwon,et al.  Delay-dependent robust Hinfinity control for uncertain systems with a state-delay , 2004, Autom..

[25]  E. K. Bender,et al.  Optimum Linear Preview Control With Application to Vehicle Suspension , 1968 .

[26]  Mohamed Darouach,et al.  A Nonlinear observer-based trajectory tracking method applied to an anaerobic digestion process , 2019, Journal of Process Control.

[27]  J. Hedrick,et al.  Observer design for a class of nonlinear systems , 1994 .

[28]  Chun-Yi Su,et al.  Observer design for discrete-time systems subject to time-delay nonlinearities , 2006, Int. J. Syst. Sci..

[29]  Ahmad Afshar,et al.  Observer-based tracking controller design for a class of Lipschitz nonlinear systems , 2018 .

[30]  James M. Ortega,et al.  Iterative solution of nonlinear equations in several variables , 2014, Computer science and applied mathematics.

[31]  Mohamed Boutayeb,et al.  Enhanced LMI conditions for observer-based H∞ stabilization of Lipschitz discrete-time systems , 2018, Eur. J. Control.

[32]  Jiang Wu,et al.  Optimal preview control for a linear continuous-time stochastic control system in finite-time horizon , 2017, Int. J. Syst. Sci..

[33]  Salim Ibrir,et al.  Model reduction of a class of discrete-time nonlinear systems , 2015, Appl. Math. Comput..

[34]  Tohru Katayama,et al.  Design of an optimal servomechanism with preview action and its dual problem , 1987 .

[35]  Thomas B. Sheridan,et al.  Three Models of Preview Control , 1966 .

[36]  R. Rajamani Observers for Lipschitz nonlinear systems , 1998, IEEE Trans. Autom. Control..

[37]  K. Vamvoudakis,et al.  Event‐triggered optimal tracking control of nonlinear systems , 2017 .

[38]  Benkai Li,et al.  Optimal preview control for a class of continuous time‐invariant descriptor systems , 2016 .

[39]  Mohamed Boutayeb,et al.  Observer-Based Feedback Stabilization for Lipschitz Nonlinear Systems With Extension to $\mathcal {H}_{\infty }$ Performance Analysis: Design and Experimental Results , 2018, IEEE Transactions on Control Systems Technology.

[40]  J. Geromel,et al.  Extended H 2 and H norm characterizations and controller parametrizations for discrete-time systems , 2002 .