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Hybrid Feedback Control

Ricardo G. Sanfelice
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Algorithm
Angular velocity
Attractor
Author_Ricardo G. Sanfelice
automatic-update
Barrier function
Boundary value problem
Bounded set (topological vector space)
Category1=Non-Fiction
Category=PBW
Category=TB
Category=TBC
Classical control theory
Coefficient of restitution
Compact space
Computation
Continuous function
Control theory
COP=United States
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Derivative
Diagram (category theory)
Differentiable function
Differential equation
Differential inclusion
Dimensional analysis
Discrete time and continuous time
Discretization
Double integrator
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_tech-engineering
Equilibrium point
Harmonic oscillator
Hybrid automaton
Hybrid system
Identity function
Implementation
Initial condition
Initial value problem
Invariance principle (linguistics)
Isolated point
Language_English
Lebesgue measure
Linear temporal logic
Linearization
Lipschitz continuity
Liveness
Logical disjunction
LTI system theory
Lyapunov function
Lyapunov stability
Measurement
Monotonic function
Nonlinear system
Norm (mathematics)
Observability
Obstacle avoidance
Optimal control
PA=Available
Parameter
Passivity (engineering)
Perturbation function
Piecewise
Pointwise
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Robust control
Semi-continuity
Simulation
softlaunch
Special case
Stability theory
State space
State variable
Subset
Supervisory control
Temporal logic
Theorem
Time domain
Timer
Upper and lower bounds
Variable (mathematics)
Zero-order hold

Product details

  • ISBN 9780691180229
  • Dimensions: 178 x 254mm
  • Publication Date: 12 Jan 2021
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

A comprehensive introduction to hybrid control systems and design

Hybrid control systems exhibit both discrete changes, or jumps, and continuous changes, or flow. An example of a hybrid control system is the automatic control of the temperature in a room: the temperature changes continuously, but the control algorithm toggles the heater on or off intermittently, triggering a discrete jump within the algorithm. Hybrid control systems feature widely across disciplines, including biology, computer science, and engineering, and examples range from the control of cellular responses to self-driving cars. Although classical control theory provides powerful tools for analyzing systems that exhibit either flow or jumps, it is ill-equipped to handle hybrid control systems.

In Hybrid Feedback Control, Ricardo Sanfelice presents a self-contained introduction to hybrid control systems and develops new tools for their analysis and design. Hybrid behavior can occur in one or more subsystems of a feedback system, and Sanfelice offers a unified control theory framework, filling an important gap in the control theory literature. In addition to the theoretical framework, he includes a plethora of examples and exercises, a Matlab toolbox (as well as two open-source versions), and an insightful overview at the beginning of each chapter.

Relevant to dynamical systems theory, applied mathematics, and computer science, Hybrid Feedback Control will be useful to students and researchers working on hybrid systems, cyber-physical systems, control, and automation.
About Ricardo G. Sanfelice
Ricardo G. Sanfelice is professor of electrical and computer engineering at the University of California, Santa Cruz. He is the coauthor of Hybrid Dynamical Systems (Princeton).

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