Duality System in Applied Mechanics and Optimal Control

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Format: Hardcover
Pub. Date: 2004-05-31
Publisher(s): Kluwer Academic Pub
List Price: $105.92

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Summary

A unified approach is proposed for applied mechanics and optimal control theory. The Hamilton system methodology in analytical mechanics is used for eigenvalue problems, vibration theory, gyroscopic systems, structural mechanics, wave-guide, LQ control, Kalman filter, robust control etc. All aspects are described in the same unified methodology. Numerical methods for all these problems are provided and given in meta-language, which can be implemented easily on the computer. Precise integration methods both for initial value problems and for two-point boundary value problems are proposed, which result in the numerical solutions of computer precision. Key Features of the text include: -Unified approach based on Hamilton duality system theory and symplectic mathematics. -Gyroscopic system vibration, eigenvalue problems. -Canonical transformation applied to non-linear systems. -Pseudo-excitation method for structural random vibrations. -Precise integration of two-point boundary value problems. -Wave propagation along wave-guides, scattering. -Precise solution of Riccati differential equations. -Kalman filtering. -HINFINITY theory of control and filter.

Table of Contents

Preface xi
Introduction 1(3)
Introduction to Precise Integration method
4(7)
Homogeneous equation, algorithm for exponential matrix.
4(2)
Solution of inhomogeneous equation
6(1)
Precision analysis
7(2)
Discussions on time-variant system or non-linear system
9(2)
Introduction to analytical dynamics
11(36)
Holonomic and nonholonomic constraints
11(3)
Generalized displacement, degrees of freedom and virtual displacement
14(2)
Principle of virtual displacement and the D'Alembert principle
16(2)
Lagrange equation
18(1)
Hamilton variational principle
19(5)
Hamiltonian canonical equations
24(5)
Legendre transformation and Hamiltonian canonical equations
24(4)
Cyclic coordinate and conservation
28(1)
Canonical transformation
29(3)
Symplectic description of the canonical transformation
32(2)
Poisson bracket
34(3)
Algebra of Poisson bracket
35(2)
Action
37(1)
Hamilton-Jacobi equation
38(9)
A simple harmonic oscillator
39(1)
Time invariant system
40(1)
Separation of variables
41(1)
Separation of variables for linear systems
42(5)
Vibration theory
47(88)
Single degree of freedom vibration
47(14)
Linear vibrations
47(2)
Parametric resonance
49(3)
Introduction to non-linear vibration
52(1)
Limit cycle
52(2)
Duffing equation
54(3)
Simplified solution method for Duffing equation
57(4)
Vibration of multi-degrees of freedom system
61(26)
Free vibration with no damping, eigen-solutions
62(4)
Constraints, count of eigenvalues
66(1)
Inclusion theorem
67(1)
Dynamic stiffness matrix and eigenvalue count
68(2)
Eigenvalue sign count and substructure analysis
70(2)
Mixed energy, the eigenvalue count for dual variables
72(3)
Substructure combination and eigenvalue count of mixed energy
75(2)
Essence of modal synthesis method
77(2)
Subspace iteration for the eigen-solution of symmetric matrices
79(1)
Ortho-normalization algorithm
80(1)
Subspace projection and its eigen-solutions
80(1)
Subspace iteration
80(2)
Transition of the subspace
82(1)
Eigen-solutions of asymmetric real matrix
82(1)
Dual subspace iteration for asymmetric matrix
83(2)
Singular value decomposition
85(1)
QR decomposition
86(1)
Singular value decomposition
86(1)
Small vibration of gyroscopic systems
87(28)
Method of separation of variables, eigen-problem
89(3)
Positive definite Hamilton function
92(1)
Variational principle of eigenvalues
93(3)
Eigenvalue count and the inclusion theorem
96(2)
Indefinite Hamilton function
98(2)
Effect of gyroscopic force to the stability of vibration
100(2)
Symplectic eigenvalue problem and its algorithm
102(4)
Symplectic eigen-solution of skew-symmetric matrix
106(7)
Numerical example
113(2)
Non-linear vibration of multi-degrees of freedom system
115(12)
Non-linear internal parametric resonance
120(4)
Non-linear internal sub-harmonic resonance
124(3)
Discussion on the stability of gyroscopic system
127(8)
Gyroscopic system with positive definite Hamilton function
127(2)
Case of indefinite Hamilton function
129(6)
Probability and stochastic process
135(26)
Preliminary of probability theory
135(12)
Probability distribution function and probability density function
136(1)
Mathematical expectation, variance and covariance
137(1)
Expectation of a random vector and its co-variance matrix
138(1)
Conditional expectation and covariance of random vector
139(1)
Characteristic function of random variable
140(1)
Normal distribution
140(2)
Linear transformation and combination of Gauss random vectors
142(1)
Least square method
143(4)
Preliminary of stochastic process
147(3)
Stationary and non-stationary stochastic process
149(1)
Ergodic stationary process
149(1)
Quadratic moment stochastic process (regular process)
150(3)
Continuity and differentiability of a regular stochastic process
151(1)
Mean square integration
152(1)
Normal stochastic process
153(1)
Markoff process
154(1)
Spectral density of stationary stochastic process
155(6)
Wiener-Khintchin relation
155(1)
Direct spectral analysis of stationary stochastic process
156(1)
White noise
157(1)
Wiener process
158(3)
Random vibration of structures
161(22)
Models of random excitation
163(4)
Stationary random excitations
163(2)
Non-stationary random excitations
165(2)
Response of structures under stationary excitations
167(13)
Random response of single degree of freedom system
167(3)
Multi-degrees of freedom system under single source excitation
170(6)
Case of inconsistent damping
176(1)
Single source multi-point excitation with different phases
177(1)
Stationary response of structure to multi-source excitations
178(1)
Spectral expansion
179(1)
Response analysis
179(1)
Response under excitation of non-stationary stochastic process
180(3)
Response under uniformly modulated non-stationary excitation
180(1)
Response under evolutionary modulated non-stationary excitation
181(2)
Elastic system with single continuous coordinate
183(100)
Fundamental equations of Timoshenco beam theory
183(2)
Potential energy density and mixed energy density
185(3)
Separation of variables, Adjoint symplectic ortho-normality
188(4)
Adjoint symplectic orthogonality
189(2)
Expansion theorem
191(1)
Multiple eigenvalues and the Jordan normal form
192(9)
Wave propagation for Timoshenco beam and its extension
194(3)
Physical meaning of symplectic orthogonality---work reciprocity
197(4)
Expansion solution of the inhomogeneous equation
201(1)
Two end boundary conditions
202(4)
Interval mixed energy and precise integration method
206(23)
Displacement method analysis
207(3)
Mixed energy, the dual variables
210(3)
Riccati differential equation and its precise integration
213(2)
Power series expansion
215(1)
Interval combination
216(2)
Precise integration for the fundamental interval
218(4)
Precise integration for asymmetric Riccati equations
222(7)
Eigenvector based solution of Riccati equations
229(16)
Analytical solution applied to the symmetric Riccati equations
235(2)
Algorithm for the eigen-solutions of a Hamilton matrix
237(3)
Transform to real value computation
240(2)
Transformation for purely imaginary eigenvalues
242(3)
Stepwise integration method by means of sub-structural combination
245(4)
Influence function of single continuous coordinate system
249(13)
Reciprocal theorems of the impulse influence matrix functions
254(3)
Precise integration of impulse influence matrix function
257(2)
Numerical example of impulse influence matrix function
259(1)
Application
260(2)
Power flow
262(6)
Algebraic Riccati equation (ARE)
263(2)
Transmission waves
265(1)
On power flow orthogonality
266(2)
Wave scattering analysis
268(2)
Wave induced resonance
270(2)
Wave propagation along periodical structures
272(11)
Dynamic stiffness matrix of a fundamental substructure
273(1)
Energy band and eigen-solutions of a symplectic matrix
273(2)
Pass-band analysis for periodical wave-guides
275(2)
Dynamic stiffness of a fundamental period and eigenvalue count
277(3)
Computation of the pass-band eigenvalue
280(3)
Linear optimal control, theory and computation
283(160)
State space of linear system
284(17)
Input-output description and state space description
284(3)
Continuous-time and discrete-time systems
287(2)
State space description of single-input single-output system
289(2)
Integration of linear time-invariant systems
291(3)
Frequency domain analysis, transfer function
294(1)
Controllability and observability of a linear system
294(1)
Controllability of a steady system
295(1)
Observability of a steady system
295(1)
Linear transformation
296(1)
Realization of a transfer function in state space
297(1)
Duality principle for controllability and observability
298(2)
Discrete-time control
300(1)
Theory of stability
301(4)
Stability analysis under Lyapunov meaning
302(1)
Lyapunov method of stability analysis
303(2)
Prediction, filtering and smoothing
305(3)
Prediction and its computation
308(20)
Mathematical model for prediction
309(1)
Prediction of one dimensional system
310(2)
Prediction of multi-degrees of freedom system
312(2)
Precise time integration
314(1)
Precise integration of inhomogeneous equations
315(2)
Precise integration of the Lyapunov differential equation
317(2)
Precise integration of the algebraic Lyapunov equation
319(2)
Integration of asymmetric Lyapunov equation
321(3)
Solution with modulated input
324(2)
Disturbance of colored noise
326(1)
Some comments for precise integration of the extended system
327(1)
Kalman filter
328(49)
Model of linear estimation
329(1)
Model of discrete-time system
329(1)
Model of continuous-time system
330(1)
Kalman filter analysis for discrete-time linear system
330(5)
Correlated dynamic and measurement noises
335(1)
Continuous-time Kalman-Bucy filtering analysis
336(4)
Correlated dynamic and measurement noises
340(2)
Continuous-time Kalman-Bucy filter under colored noises
342(1)
Interval mixed energy
343(2)
Interval combination
345(2)
Differential equations for the interval matrices and vectors
347(3)
Physical interpretation of the solution of Riccati equation
350(1)
Precise integration of the Riccati differential equation
351(5)
Analytical solution of Riccati equation based on eigen-solutions
356(1)
Solution of single step filter equation
357(3)
Analytical single step integration for the filter equation
360(4)
Analytical equation for single step integration
364(2)
Taylor expansion of precise stepwise filtering
366(3)
Interval combination within the η interval
369(3)
Integration of filter equation for the whole interval
372(3)
Numerical example
375(2)
Optimal smoothing and computations
377(14)
Optimal smoothing of continuous-time linear system
378(3)
Interval mixed energy and differential equation for smoothing
381(4)
Mean value and variance of smoothing
385(3)
Precise integration for single time step
388(1)
Three kinds of smoothing algorithms
389(1)
Fixed interval smoothing
389(1)
Fixed point smoothing
390(1)
Fixed delay smoothing
390(1)
Optimal control
391(16)
Theory of LQ optimal control for the future time interval
392(3)
Stability analysis
395(1)
Gram matrices of controllability and observability
396(1)
Positive definiteness of the Riccati matrix
397(4)
Stability analysis based on Lyapunov second method
401(1)
Precise computation of LQ control
402(1)
Precise solution of Riccati differential equation
403(1)
Integration of state differential equation
404(2)
Measurement feedback optimal control
406(1)
Robust control
407(36)
Analysis of H∞ state feedback robust control
410(3)
Extended Rayleigh quotient
413(2)
Interval mixed energy
415(3)
Precise integration
418(1)
Algorithm
419(4)
H∞ filtering
423(4)
Solution of dual equations
427(1)
Extended Rayleigh quotient
428(2)
Interval mixed energy
430(2)
Precise integration method
432(1)
Algorithm
433(2)
Synthesis variational principle for measurement feedback control
435(2)
Rayleigh quotient
437(1)
Variance matrix of the state estimation vector
438(1)
Algorithm
439(4)
Concluding remarks 443

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