Observers for interconnected nonlinear and linear systems

In this paper we begin by assuming that an observer with a corresponding quadratic-type Lyapunov function has been designed for a given nonlinear system. We then consider the problem that arises when the output of that nonlinear system is not directly available; instead, it acts as an input to a second, linear system from which a partial-state measurement is in turn available. We develop an observer design methodology for the resulting cascade interconnection, based on estimating the unavailable output together with the states of the linear system. We also extend this methodology to a more general class of feedback-interconnected systems. Under a set of technical assumptions, the overall error dynamics is proven to be globally exponentially stable if the gains are chosen to satisfy an H"~ condition. We illustrate application of the methodology by considering a navigation example based on integration of inertial and satellite measurements.

[1]  Tor Arne Johansen,et al.  Attitude Estimation Using Biased Gyro and Vector Measurements With Time-Varying Reference Vectors , 2012, IEEE Transactions on Automatic Control.

[2]  Petar V. Kokotovic,et al.  Nonlinear observers: a circle criterion design and robustness analysis , 2001, Autom..

[3]  Richard A. Brown,et al.  Introduction to random signals and applied kalman filtering (3rd ed , 2012 .

[4]  Hassan K. Khalil,et al.  Lyapunov-based switching control of nonlinear systems using high-gain observers , 2005, Proceedings of the 2005, American Control Conference, 2005..

[5]  W. Ames Mathematics in Science and Engineering , 1999 .

[6]  Robert L. Frank On the Design of Suboptimal Linear Time-Varying Systems , 1970 .

[7]  Hassan K. Khalil,et al.  Performance Recovery of Feedback-Linearization-Based Designs , 2008, IEEE Transactions on Automatic Control.

[8]  Ali Zemouche,et al.  Observers for a class of Lipschitz systems with extension to Hinfinity performance analysis , 2008, Syst. Control. Lett..

[9]  Thor I. Fossen,et al.  A nonlinear observer for GPS and INS integration , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[10]  J. Gauthier,et al.  A simple observer for nonlinear systems applications to bioreactors , 1992 .

[11]  Murat Arcak,et al.  Observer design for systems with multivariable monotone nonlinearities , 2003, Syst. Control. Lett..

[12]  P. Moylan Stable inversion of linear systems , 1977 .

[13]  M. Shuster,et al.  Three-axis attitude determination from vector observations , 1981 .

[14]  Nicholas G. Polson,et al.  Particle Filtering , 2006 .

[15]  Hyungbo Shim,et al.  Recursive nonlinear observer design: beyond the uniform observability , 2003, IEEE Trans. Autom. Control..

[16]  R. Rajamani,et al.  Observer design for Lipschitz nonlinear systems using Riccati equations , 2010, Proceedings of the 2010 American Control Conference.

[17]  Minh-Duc Hua Attitude estimation for accelerated vehicles using GPS/INS measurements , 2010 .

[18]  Uwe Mackenroth,et al.  H 2 Optimal Control , 2004 .

[19]  S. Drakunov Sliding-mode observers based on equivalent control method , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[20]  A. Saberi,et al.  Observer Design for Loop Transfer Recovery and for Uncertain Dynamical Systems , 1988, 1988 American Control Conference.

[21]  Ali Saberi,et al.  Filtering theory , 2007 .

[22]  Riccardo Marino,et al.  Nonlinear control design: geometric, adaptive and robust , 1995 .

[23]  Frank L. Lewis,et al.  Optimal Control , 1986 .

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

[25]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[26]  P. Djurić,et al.  Particle filtering , 2003, IEEE Signal Process. Mag..

[27]  P. Gahinet,et al.  H∞ design with pole placement constraints: an LMI approach , 1996, IEEE Trans. Autom. Control..

[28]  H. Hammouri,et al.  A graph approach to uniform observability of nonlinear multi-output systems , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[29]  J. Slotine,et al.  On Sliding Observers for Nonlinear Systems , 1986, 1986 American Control Conference.

[30]  Tor Arne Johansen,et al.  Observers for cascaded nonlinear and linear systems , 2011, IEEE Conference on Decision and Control and European Control Conference.

[31]  Tor Arne Johansen,et al.  Estimation of states and parameters for linear systems with nonlinearly parameterized perturbations , 2011, Syst. Control. Lett..

[32]  Moon Gi Kang,et al.  Super-resolution image reconstruction , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[33]  C. Kravaris,et al.  Nonlinear observer design using Lyapunov's auxiliary theorem , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[34]  F. Thau Observing the state of non-linear dynamic systems† , 1973 .

[35]  F. Esfandiari,et al.  Observer-based Control of Uncertain Linear Systems: Recovering State Feedback Robustness Under Matching Condition , 1989, 1989 American Control Conference.

[36]  Behçet Açikmese,et al.  Observers for systems with nonlinearities satisfying incremental quadratic constraints , 2011, Autom..

[37]  John L. Crassidis,et al.  Survey of nonlinear attitude estimation methods , 2007 .

[38]  J. Grizzle,et al.  Observer design for nonlinear systems with discrete-time measurements , 1995, IEEE Trans. Autom. Control..

[39]  C. Kravaris,et al.  Nonlinear observer design using Lyapunov's auxiliary theorem , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[40]  Ali Saberi,et al.  High-gain observer design for domination of nonlinear perturbations: Transformation to a canonical form by dynamic output shaping , 2010, 49th IEEE Conference on Decision and Control (CDC).

[41]  Arthur J. Krener,et al.  Linearization by output injection and nonlinear observers , 1983 .