Towards a practical reachability test for dynamic systems under process faults

The main objective of this paper is to provide a practical test for checking system reachability under process faults. Taking into account the unappealing phenomenon of faults, it is assumed that the knowledge about them is limited, i.e. they are known up to some confidence interval. Thus, the main objective of this paper is to provide a computational algorithm that can be used for settling such a robust reachability challenge. For that purpose, very useful mathematical tools are recalled, which are called P- and block P-matrices. Subsequently, a new tool is developed, which is able to check if a given matrix is P- or block P-one. The proposed approach is characterized by low computational burden comparing to those presented in the literature. Based on it, a new reachability test is developed for systems under process faults. The final part of this paper shows experimental results, which clearly expose the effectiveness of the proposed approach.

[1]  Jerzy Klamka,et al.  Some remarks about stochastic controllability , 1977 .

[2]  J. Ling,et al.  Multicriterion structure/control design for optimal maneuverability and fault tolerance of flexible spacecraft , 1994 .

[3]  J. P. Dauer,et al.  Controllability of Nonlinear Systems in Banach Spaces: A Survey , 2002 .

[4]  Ludwig Elsner,et al.  Convex sets of schur stable and stable matrices , 2000 .

[5]  Shuzhi Sam Ge,et al.  Controllability and reachability criteria for switched linear systems , 2002, Autom..

[6]  Rolf Isermann,et al.  Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems , 2011 .

[7]  Michel Kinnaert,et al.  Diagnosis and Fault-tolerant Control, 2nd edition , 2006 .

[8]  Tadeusz Kaczorek,et al.  Fractional Positive Continuous-Time Linear Systems and Their Reachability , 2008, Int. J. Appl. Math. Comput. Sci..

[9]  Zhendong Sun,et al.  On reachability and stabilization of switched linear systems , 2001, IEEE Trans. Autom. Control..

[10]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2006 .

[11]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[12]  Guangming Xie,et al.  Controllability and stabilizability of switched linear-systems , 2003, Syst. Control. Lett..

[13]  Ralf Stetter,et al.  Towards Robust Predictive Fault–Tolerant Control for a Battery Assembly System , 2015 .

[14]  Xianlong Fu,et al.  Controllability of abstract neutral functional differential systems with unbounded delay , 2004, Appl. Math. Comput..

[15]  Damiano Rotondo,et al.  A practical test for assessing the reachability of discrete-time Takagi-Sugeno fuzzy systems , 2015, J. Frankl. Inst..

[16]  Kazuo Murota,et al.  Symmetric failures in symmetric control systems , 2000 .

[17]  Krishnan Balachandran,et al.  Controllability of second-order integrodifferential evolution systems in Banach spaces , 2005 .

[18]  Shuzhi Sam Ge,et al.  Reachability and controllability of switched linear discrete-time systems , 2001, IEEE Trans. Autom. Control..

[19]  Tadeusz Kaczorek Reachability and controllability to zero of cone fractional linear systems , 2007 .

[20]  Tomasz Szulc,et al.  Convex combinations of matrices — Full rank characterization , 1999 .

[21]  Didier Theilliol,et al.  Fault-tolerant Control Systems: Design and Practical Applications , 2009 .

[22]  Jerzy Klamka Constrained controllability of semilinear systems with multiple delays in control , 2004 .

[23]  Charles R. Johnson,et al.  Convex sets of nonsingular and P:–Matrices , 1995 .

[24]  Rolf Isermann,et al.  Fault-Diagnosis Applications , 2011 .

[25]  W. Schappacher,et al.  Constrained controllability in Banach spaces , 1986 .

[26]  T. Szulc,et al.  On Some Properties of Convex Matrix Sets Characterized by P -Matrices and Block P -Matrices , 2002 .

[27]  Jerzy Klamka,et al.  Constrained controllability of semilinear systems with delays , 2009 .

[28]  Nazim I. Mahmudov,et al.  Controllability of non-linear stochastic systems , 2003 .

[29]  Ludwig Elsner,et al.  Convex combinations of matrices-nonsingularity and schur stability characterizations , 1998 .

[30]  Koichiro Naito,et al.  Controllability of semilinear control systems dominated by the linear part , 1987 .

[31]  Nazim I. Mahmudov,et al.  On controllability of linear stochastic systems , 2000 .

[32]  Charles R. Johnson,et al.  CONVEX SETS OF NONSINGULAR AND P – MATRICES ( Linear and Multilinear Algebra , 2000 .

[33]  Marcin Witczak,et al.  Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems , 2014 .

[34]  Ludwig Elsner,et al.  Block P-matrices , 1998 .

[35]  Youmin Zhang,et al.  Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis , 2003 .

[36]  K. Balachandran,et al.  Controllability of nonlinear systems via fixed-point theorems , 1987 .

[37]  Damiano Rotondo,et al.  Robust Quasi–LPV Model Reference FTC of a Quadrotor Uav Subject to Actuator Faults , 2015, Int. J. Appl. Math. Comput. Sci..