7 edition of **Lyapunov matrix equation in system stability and control** found in the catalog.

Lyapunov matrix equation in system stability and control

Zoran Gajic

- 183 Want to read
- 20 Currently reading

Published
**2008**
by Dover Publications in Mineola, N.Y
.

Written in English

- Control theory,
- Lyapunov stability

**Edition Notes**

Originally published: San Diego, California : Academic Press, 1995.

Statement | Zoran Gajic and Muhammad Tahir Javed Qureshi. |

Contributions | Qureshi, Muhammad Tahir Javed. |

Classifications | |
---|---|

LC Classifications | QA402.3 .G3387 2008 |

The Physical Object | |

Pagination | p. cm. |

ID Numbers | |

Open Library | OL16480657M |

ISBN 10 | 048646668X |

ISBN 10 | 9780486466682 |

LC Control Number | 2007049458 |

The equation, with a negative definite, yields a unique positive definite solution if and only if the eigenvalues of are in the closed left half-plane: A stable system: The definite integral is the solution to if is asymptotically stable. In the theory of ordinary differential equations (ODEs), Lyapunov functions are scalar functions that may be used to prove the stability of an equilibrium of an ODE. Named after the Russian mathematician Aleksandr Mikhailovich Lyapunov, Lyapunov functions (also called the Lyapunov’s second method for stability) are important to stability theory of dynamical systems and control theory.

Lyapunov Matrix Equation in System Stability and Control, () Krylov Subspace Methods for Solving Large Lyapunov Equations. SIAM Journal on Numerical Analysis , Cited by: Notes. This section describes the available solvers that can be selected by the ‘method’ parameter. The default method is direct if M is less than 10 and bilinear otherwise.. Method direct uses a direct analytical solution to the discrete Lyapunov equation. The algorithm is given in, for example,.However it requires the linear solution of a system with dimension \(M^2\) so that.

Lyapunov’s theory for characterizing and studying the stability of equilibrium points is presented for time-invariant and time-varying systems modeled by ordinary differential equations. This is a preview of subscription content, log in to check access. stability the sense of Lyapunov (i.s.L.). It is p ossible to ha v e stabilit y in Ly apuno without ha ving asymptotic stabilit y, in whic h equations r _ = (1) _ = sin 2 (2) () q where the radius r is giv en b y = x 2 1 + 2 and angle 0 arctan (x 2 =x 1) system with diagonalizable A matrix (in our standard notation) and u.

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The authors offer a wide variety of techniques for solving and analyzing the algebraic, differential, and difference Lyapunov matrix equations of continuous-time and discrete-time systems.

The matrix equations are considered in terms of three main categories: explicit solutions; approximate solutions characterized by different bounds, such as eigenvalue bounds, trace bounds, determinant bounds, Cited by: Lyapunov Matrix Equation in System Stability and Control Zoran Gajić and Muhammad Tahir Javed Qureshi (Eds.) The Lyapunov and Riccati equations are two of the fundamental equations of control and system theory, having special relevance for system identification, optimization, boundary value problems, power systems, signal processing, and communications.

The Lyapunov Matrix Equation in System Stability and Control covers mathematical developments and applications while providing quick and easy references for solutions to engineering and mathematical problems.

Examples of real-world systems are given throughout the text in order to demonstrate the effectiveness of the presented methods and Edition: 1. Research article Lyapunov matrix equation in system stability and control book text access Chapter Six Stability robustness and sensitivity of Lyapunov equation Pages Download PDF.

The authors offer a wide variety of techniques for solving and analyzing the algebraic, differential, and difference Lyapunov matrix equations of continuous-time and discrete-time systems.

The matrix equations are considered in terms of three main categories: explicit solutions; approximate solutions characterized by different bounds, such as eigenvalue bounds, trace bounds, determinant bounds. Appendix: matrix inequalities.

(source: Nielsen Book Data) Summary The Lyapunov and Riccati equations are two of the fundamental equations of control and system theory, having special relevance for system identification, optimization, boundary value problems, power systems, signal processing, and communications.

Online Book Load. Search this site. Home. 50 Psychology Classics: Who We Are, How We Think, What We Do; Insight and Inspiration from 50 Key Books. A Course in Modern Analysis and its Applications (Australian Mathematical Society Lecture Series) A Natural History of Latin.

A Tibetan-English Dictionary. • for some matrix Q ˜ 0 the matrix P solving the Lyapunov equation satisﬁes P ˜ 0 • for all matrices Q ˜ 0 the matrix P solving the Lyapunov equation satisﬁes P ˜ 0 The Lyapunov LMI can be solved numerically without IP methods since solving the above equation amounts to solving a linear system of n(n + 1)/2 equations in n(n + 1)/2.

The book is the first book on complex matrix equations including the conjugate of unknown matrices. The study of these conjugate matrix equations is motivated by the investigations on stabilization and model reference tracking control for discrete-time antilinear systems, which are a particular. Lyapunov theory is used to make conclusions about trajectories of a system x˙ = f(x) (e.g., G.A.S.) without ﬁnding the trajectories (i.e., solving the diﬀerential equation) a typical Lyapunov theorem has the form: • if there exists a function V: Rn → R that satisﬁes some conditions on V and V˙ • then, trajectories of system satisfy some property if.

The book is the first book on complex matrix equations including the conjugate of unknown matrices. The study of these conjugate matrix equations is motivated by the investigations on stabilization and model reference tracking control for discrete-time antilinear systems, which are a particular kind of complex system with structure constraints.

We can use this version of the Lyapunov equation to define a condition for stability in discrete-time systems: Lyapunov Stability Theorem (Digital Systems) A digital system with the system matrix A is asymptotically stable if and only if there exists a unique matrix M that satisfies the Lyapunov Equation for every positive definite matrix N.

Methods, Volume 40 (Studies in Applied Mechanics) Lyapunov Matrix Equation in System Stability and Control (Dover Civil and Mechanical Engineering) Vehicle Dynamics, Stability, and Control, Second Edition (Mechanical Engineering) Flight Stability and Automatic Control Stability EstimatesFile Size: KB.

The Lyapunov Matrix Equation in System Stability and Control covers mathematical developments and applications while providing quick and easy references for solutions to engineering and mathematical problems. Lyapunov’s stability analysis technique is very common and dominant. The main deficiency, which severely limits its utilization, in reality, is the complication linked with the development of the Lyapunov function which is needed by the technique.

Sami Fadali, Antonio Visioli, in Digital Control Engineering (Second Edition), Controller design based on Lyapunov stability theory.

Lyapunov stability theory provides a means of stabilizing unstable nonlinear systems using feedback control. The idea is that if one can select a suitable Lyapunov function and force it to decrease along the trajectories of the system, the.

Theorem A matrix A is Hurwitz if and only if for any Q = QT > 0 there is P = PT > 0 that satisﬁes the Lyapunov equation PA +ATP = −Q Moreover, if A is Hurwitz, then P is the unique solution Idea of the proof: Sufﬁciency follows from Lyapunov’s theorem.

Necessity is shown by verifying that P = Z ∞ 0 exp(ATt)Qexp(At) dtFile Size: 45KB. shall strive to prove global, exponential stability. The direct method of Lyapunov. Lyapunov’s direct method (also called the second method of Lyapunov) allows us to determine the stability of a system without explicitly inte-grating the diﬀerential equation ().

The method is a generalizationFile Size: KB. The Lyapunov Matrix Equation in System Stability and Control covers mathematical developments and applications while providing quick and easy references for solutions to Examples of real-world systems are given throughout the text in order to demonstrate the effectiveness of the presented methods and algorithms.

Lyapunov Stability A function V: D!R is said to be • positive de nite if V(0) = 0 and (x) >0; 8 6= 0 • positive semide nite if V(0) = 0 and (x) 0; 8 6= 0 • negative de nite (resp.

negative semi de nite) if V(x) is de nite positive (resp. de nite semi positive). In particular, for V(x) = xTPx(quadratic form), where Pis a real symmetric matrix, V(x) is positive (semi)de nite if and. In control theory, the discrete Lyapunov equation is of the form − + = where is a Hermitian matrix and is the conjugate transpose continuous Lyapunov equation is of form: + +.

The Lyapunov equation occurs in many branches of control theory, such as stability analysis and optimal and related equations are named after the Russian mathematician Aleksandr Lyapunov.Lyapunov matrix equation in system stability and control.

[Zoran Gajić; Muhammad Tahir Javed Qureshi] stability of linear systems; variance of linear stochastic systems; quadratic performance measure; book organization. Part 2 Continuous algebraic Lyapunov equation: explicit solutions; solution sounds; numerical solutions.

http:\/\/www.Stability is a classical issue in dynamical system theory. One of the most widely adopted stability concepts is Lyapunov stability, which plays important roles in sys-tem and control theory and in the analysis of engineering systems. In the classical Lyapunov stability theory, we assume that the ODE in consideration has a smooth (at.