Modern Anti-windup Synthesis

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A01=Andrew R. Teel
A01=Luca Zaccarian
Accuracy and precision
Actuator
Algorithm
Amplitude
Author_Andrew R. Teel
Author_Luca Zaccarian
Big O notation
Block diagram
Calculation
Category=PBW
Category=TBJ
Category=TJFM
Change of variables
Computation
Convex optimization
Degrees of freedom (mechanics)
Degrees of freedom (statistics)
Diagonal matrix
Directional derivative
Double integrator
Eigenvalues and eigenvectors
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eq_isMigrated=1
eq_nobargain
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Equation
Euler–Lagrange equation
Exponential stability
Free parameter
Heaviside step function
Inequality (mathematics)
Infimum and supremum
Initial condition
Input and output (medicine)
Integrator
Interconnection
Karush–Kuhn–Tucker conditions
Linear filter
Linear independence
Linear map
Linear matrix inequality
Linearity
Lipschitz continuity
Lyapunov equation
Lyapunov function
Lyapunov stability
Mathematical optimization
MATLAB
Measurement
Negative feedback
Newton's method
Nonlinear system
Optimal control
Optimization problem
Overshoot (signal)
Parameter
Parameter (computer programming)
PID controller
Quadratic function
Rate of convergence
Requirement
Result
Servomechanism
Setpoint (control system)
Singular value
Smith predictor
Smoothing
Solver
Special case
Stability theory
State variable
State-space representation
Steady state
Step response
Symmetric matrix
Trade-off
Transfer function
Transient response
Variable (computer science)

Product details

  • ISBN 9780691147321
  • Weight: 510g
  • Dimensions: 152 x 235mm
  • Publication Date: 31 Jul 2011
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Hardback
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This book provides a wide variety of state-space--based numerical algorithms for the synthesis of feedback algorithms for linear systems with input saturation. Specifically, it addresses and solves the anti-windup problem, presenting the objectives and terminology of the problem, the mathematical tools behind anti-windup algorithms, and more than twenty algorithms for anti-windup synthesis, illustrated with examples. Luca Zaccarian and Andrew Teel's modern method--combining a state-space approach with algorithms generated by solving linear matrix inequalities--treats MIMO and SISO systems with equal ease. The book, aimed at control engineers as well as graduate students, ranges from very simple anti-windup construction to sophisticated anti-windup algorithms for nonlinear systems. * Describes the fundamental objectives and principles behind anti-windup synthesis for control systems with actuator saturation * Takes a modern, state-space approach to synthesis that applies to both SISO and MIMO systems * Presents algorithms as linear matrix inequalities that can be readily solved with widely available software * Explains mathematical concepts that motivate synthesis algorithms * Uses nonlinear performance curves to quantify performance relative to disturbances of varying magnitudes * Includes anti-windup algorithms for a class of Euler-Lagrange nonlinear systems * Traces the history of anti-windup research through an extensive annotated bibliography
Luca Zaccarian is associate professor of control engineering at the University of Rome, Tor Vergata. Andrew R. Teel is a professor in the Electrical and Computer Engineering Department at the University of California, Santa Barbara.

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