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Calculus of Variations and Optimal Control Theory
Calculus of Variations and Optimal Control Theory
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A01=Daniel Liberzon
Addition
Adjoint
Adjoint equation
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Author_Daniel Liberzon
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Boundary value problem
Calculation
Calculus of variations
Category1=Non-Fiction
Category=PBKQ
Category=PBU
Computation
Continuous function
Control theory
Convex set
COP=United States
Degrees of freedom (statistics)
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Derivative
Differentiable function
Differential equation
Division by zero
Eigenvalues and eigenvectors
eq_isMigrated=2
eq_nobargain
Equation
Euler-Lagrange equation
Existential quantification
First variation
Function space
Hamilton-Jacobi-Bellman equation
Hamiltonian mechanics
Hyperplane
Inequality (mathematics)
Infimum and supremum
Initial condition
Integration by parts
Inverse function theorem
Jacobian matrix and determinant
Lagrange multiplier
Lagrangian (field theory)
Language_English
Linear approximation
Linear combination
Linear differential equation
Linear function
Linearity
Lipschitz continuity
LTI system theory
Mathematical optimization
Matrix differential equation
Maxima and minima
Maximum principle
Mean value theorem
Measurable function
Notation
Optimal control
Optimization problem
Ordinary differential equation
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Parameter
Partial derivative
Partial differential equation
Piecewise
Price_€50 to €100
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Quantity
Requirement
Riccati equation
Scientific notation
Sign convention
softlaunch
Special case
State variable
Stationary point
Subset
Summation
Tangent space
Tangent vector
Taylor series
Theorem
Variable (mathematics)
Velocity
Weierstrass theorem
Product details
- ISBN 9780691151878
- Weight: 680g
- Dimensions: 178 x 254mm
- Publication Date: 08 Jan 2012
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
- Language: English
This textbook offers a concise yet rigorous introduction to calculus of variations and optimal control theory, and is a self-contained resource for graduate students in engineering, applied mathematics, and related subjects. Designed specifically for a one-semester course, the book begins with calculus of variations, preparing the ground for optimal control. It then gives a complete proof of the maximum principle and covers key topics such as the Hamilton-Jacobi-Bellman theory of dynamic programming and linear-quadratic optimal control. Calculus of Variations and Optimal Control Theory also traces the historical development of the subject and features numerous exercises, notes and references at the end of each chapter, and suggestions for further study.
* Offers a concise yet rigorous introduction * Requires limited background in control theory or advanced mathematics * Provides a complete proof of the maximum principle * Uses consistent notation in the exposition of classical and modern topics * Traces the historical development of the subject * Solutions manual (available only to teachers) Leading universities that have adopted this book include: * University of Illinois at Urbana-Champaign ECE 553: Optimum Control Systems * Georgia Institute of Technology ECE 6553: Optimal Control and Optimization * University of Pennsylvania ESE 680: Optimal Control Theory * University of Notre Dame EE 60565: Optimal Control
Daniel Liberzon is associate professor of electrical and computer engineering at the University of Illinois, Urbana-Champaign. He is the author of "Switching in Systems and Control".
Calculus of Variations and Optimal Control Theory
€96.99
