Adaptive Control of Parabolic PDEs
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€87.99
A01=Andrey Smyshlyaev
A01=Miroslav Krstic
Accuracy and precision
Actuator
Adaptive control
Adaptive system
Age Group_Uncategorized
Age Group_Uncategorized
Asymptotic analysis
Author_Andrey Smyshlyaev
Author_Miroslav Krstic
automatic-update
Backstepping
Bode plot
Boundary value problem
Bounded operator
Categorization
Category1=Non-Fiction
Category=PBKJ
Change of variables
Coefficient
Computation
Control engineering
Control variable
COP=United States
Delivery_Delivery within 10-20 working days
Derivative
Deterministic system
Differential equation
Dimension (vector space)
Dirichlet boundary condition
Discretization
Eigenfunction
Eigenvalues and eigenvectors
eq_isMigrated=2
eq_nobargain
Error term
Estimation
Estimation theory
Estimator
Extended Kalman filter
Feedback linearization
Frequency domain
Gradient method
Identifiability
Identifier
Initial condition
Instability
Integral equation
Integrator
Inverse Laplace transform
Language_English
Laplace transform
Least squares
Linear differential equation
Linear programming
Linearization
Lyapunov function
Mathematical optimization
Measurement
Minimum phase
Nonlinear control
Nonlinear system
Observability
Optimal control
PA=Available
Parameter
Parametric model
Parametrization
Phase margin
Pointwise
Price_€50 to €100
PS=Active
Rate of convergence
Reynolds number
Riccati equation
Robustification
Sensor
Separation principle
softlaunch
Symbolic computation
System identification
Theorem
Transfer function
Uncertainty
Variable (mathematics)
Volterra operator
Wave equation
Product details
- ISBN 9780691142869
- Weight: 595g
- Dimensions: 152 x 235mm
- Publication Date: 21 Jul 2010
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
- Language: English
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This book introduces a comprehensive methodology for adaptive control design of parabolic partial differential equations with unknown functional parameters, including reaction-convection-diffusion systems ubiquitous in chemical, thermal, biomedical, aerospace, and energy systems. Andrey Smyshlyaev and Miroslav Krstic develop explicit feedback laws that do not require real-time solution of Riccati or other algebraic operator-valued equations. The book emphasizes stabilization by boundary control and using boundary sensing for unstable PDE systems with an infinite relative degree. The book also presents a rich collection of methods for system identification of PDEs, methods that employ Lyapunov, passivity, observer-based, swapping-based, gradient, and least-squares tools and parameterizations, among others. Including a wealth of stimulating ideas and providing the mathematical and control-systems background needed to follow the designs and proofs, the book will be of great use to students and researchers in mathematics, engineering, and physics. It also makes a valuable supplemental text for graduate courses on distributed parameter systems and adaptive control.
Andrey Smyshlyaev is assistant project scientist at the University of California, San Diego. Miroslav Krstic is the Sorenson Distinguished Professor and the founding director of the Cymer Center for Control Systems and Dynamics at the University of California, San Diego. Smyshlyaev and Krstic are the authors of "Boundary Control of PDEs".
