Delay-Adaptive Linear Control

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A01=Miroslav Krstic
A01=Yang Zhu
Actuator
Adaptive control
Aerospace engineering
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Algebraic Riccati equation
Author_Miroslav Krstic
Author_Yang Zhu
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B0
Backstepping
Biological engineering
Biomedical engineering
Burgers' equation
Category1=Non-Fiction
Category=PBUH
Category=PBW
Category=TBJ
Chemical engineer
Chemical industry
Chemical process
Combustion
Communications system
Computation
Computer engineering
Control channel
Control engineering
Control room
Control theory
COP=United States
Decision-making
Delivery_Delivery within 10-20 working days
Designer
Engineering
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eq_non-fiction
eq_tech-engineering
Error term
Estimation
Estimator
Exponential stability
Feed forward (control)
Hyperplane
Implementation
Initial condition
Integrator
Inverse dynamics
Jensen's inequality
Language_English
Linear matrix inequality
Lipschitz continuity
LTI system theory
Lyapunov equation
Lyapunov function
Machining
Mathematician
Measurement
Mechanical engineering
Methodology
Milling (machining)
Multi-agent system
Networked control system
Nonlinear system
Notation
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Polynomial
Price_€50 to €100
Process control
PS=Active
QL (chemical)
Requirement
Robust control
Schur complement
Sensor
Sensor node
Smith predictor
SN=Princeton Series in Applied Mathematics
softlaunch
Stability conditions
State observer
State variable
Structural engineer
Teleoperation
Theorem
Time derivative
Unavailability
Uncertainty
Valve actuator
Viscosity
Wirtinger's inequality

Product details

  • ISBN 9780691202549
  • Dimensions: 156 x 235mm
  • Publication Date: 28 Apr 2020
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Actuator and sensor delays are among the most common dynamic phenomena in engineering practice, and when disregarded, they render controlled systems unstable. Over the past sixty years, predictor feedback has been a key tool for compensating such delays, but conventional predictor feedback algorithms assume that the delays and other parameters of a given system are known. When incorrect parameter values are used in the predictor, the resulting controller may be as destabilizing as without the delay compensation.

Delay-Adaptive Linear Control develops adaptive predictor feedback algorithms equipped with online estimators of unknown delays and other parameters. Such estimators are designed as nonlinear differential equations, which dynamically adjust the parameters of the predictor. The design and analysis of the adaptive predictors involves a Lyapunov stability study of systems whose dimension is infinite, because of the delays, and nonlinear, because of the parameter estimators. This comprehensive book solves adaptive delay compensation problems for systems with single and multiple inputs/outputs, unknown and distinct delays in different input channels, unknown delay kernels, unknown plant parameters, unmeasurable finite-dimensional plant states, and unmeasurable infinite-dimensional actuator states.

Presenting breakthroughs in adaptive control and control of delay systems, Delay-Adaptive Linear Control offers powerful new tools for the control engineer and the mathematician.

Yang Zhu is a postdoctoral researcher in control theory and engineering at Tel Aviv University. Miroslav Krstic is distinguished professor of mechanical and aerospace engineering at the University of California, San Diego, where he also serves as senior associate vice chancellor for research. He is the coauthor of many books, including Nonlinear and Adaptive Control Design (Wiley) and Adaptive Control of Parabolic PDEs (Princeton).

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