Principles of Cyber-Physical Systems
A foundational text that offers a rigorous introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems.A cyber-physical system consists of a collection of computing devices communicating with one another and interacting with the physical world via sensors and actuators in a feedback loop. Increasingly, such systems are everywhere, from smart buildings to medical devices to automobiles. This textbook offers a rigorous and comprehensive introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems. The book draws on a diverse set of subdisciplines, including model-based design, concurrency theory, distributed algorithms, formal methods of specification and verification, control theory, real-time systems, and hybrid systems, explaining the core ideas from each that are relevant to system design and analysis.The book explains how formal models provide mathematical abstractions to manage the complexity of a system design. It covers both synchronous and asynchronous models for concurrent computation, continuous-time models for dynamical systems, and hybrid systems for integrating discrete and continuous evolution. The role of correctness requirements in the design of reliable systems is illustrated with a range of specification formalisms and the associated techniques for formal verification. The topics include safety and liveness requirements, temporal logic, model checking, deductive verification, stability analysis of linear systems, and real-time scheduling algorithms. Principles of modeling, specification, and analysis are illustrated by constructing solutions to representative design problems from distributed algorithms, network protocols, control design, and robotics.This book provides the rapidly expanding field of cyber-physical systems with a long-needed foundational text by an established authority. It is suitable for classroom use or as a reference for professionals.
Why Read This Book
You should read this book if you want a rigorous, unifying foundation for designing and reasoning about systems that combine discrete computation with continuous physical dynamics; you will learn formal models and analysis techniques that make correctness, safety, and real-time behavior amenable to mathematical reasoning. The book emphasizes principles and proof-oriented methods (modeling, specification, verification, and synthesis) that translate directly into higher-confidence embedded, IoT, and cyber-physical designs.
Who Will Benefit
Advanced undergraduates, graduate students, and practicing engineers or researchers who design safety-critical or real-time embedded and cyber-physical systems and want formal tools for modeling, verification, and controller synthesis.
Level: Advanced — Prerequisites: Familiarity with discrete mathematics (automata, basic logic), calculus and linear algebra, basic control theory and dynamical systems, and undergraduate-level algorithms; some exposure to formal languages or basic model checking is helpful but not required.
Key Takeaways
- Model cyber-physical behaviors using hybrid and timed automata and relate discrete controllers to continuous dynamics
- Specify system requirements with temporal and real-time logics and translate informal requirements into formal properties
- Analyze reachability, safety, and liveness properties using model-checking and reachability techniques for hybrid systems
- Synthesize controllers and correct-by-construction strategies that respect real-time and physical constraints
- Compose and reason about distributed and concurrent CPS components to manage complexity and ensure system-level guarantees
Topics Covered
- Introduction: What is a Cyber-Physical System?
- Foundations: Automata, Logic, and Models of Time
- Continuous Dynamics and Linear Systems
- Hybrid Automata: Modeling Discrete–Continuous Interaction
- Timed Automata and Real-Time Models
- Specification Languages: LTL, MTL, and Real-Time Logics
- Verification Techniques: Model Checking and Reachability Analysis
- Controller Synthesis and Correct-by-Construction Design
- Compositional Modeling and Distributed CPS
- Robustness, Sampling, and Implementation Issues
- Case Studies and Applications (automotive, building, medical devices)
- Extensions: Stochastic Models, Security, and Open Research Directions
Languages, Platforms & Tools
How It Compares
Compared with Goebel/Sanfelice/Teel's Hybrid Dynamical Systems (which emphasizes stability and Lyapunov methods), Alur's book covers a broader formal-methods and verification/synthesis perspective; for model checking depth, see Baier & Katoen's Principles of Model Checking as a complementary reference.
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