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astrom k feedback systems introduction 2ed 2021

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Textbook in PDF format The essential introduction to the principles and applications of feedback systems―now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory Preface to the Second Edition. Preface to the First Edition. Introduction. What Is Feedback? What is Feedforward? What Is Control? Use of Feedback and Control. Feedback Properties. Simple Forms of Feedback. Combining Feedback with Logic. Control System Architectures. Further Reading. Exercises. Feedback Principles. Nonlinear Static Models. Linear Dynamical Models. Using Feedback to Improve Disturbance Attenuation. Using Feedback to Track Reference Signals. Using Feedback to Provide Robustness. Positive Feedback. Further Reading. Exercises. System Modeling. Modeling Concepts. State Space Models. Modeling Methodology. Modeling Examples. Further Reading. Exercises. Examples. Cruise Control. Bicycle Dynamics. Operational Amplifier Circuits. Computing Systems and Networks. Atomic Force Microscopy. Drug Administration. Population Dynamics. Exercises. Dynamic Behavior. Solving Differential Equations. Qualitative Analysis. Stability. Lyapunov Stability Analysis. Parametric and Nonlocal Behavior. Further Reading. Exercises. Linear Systems. Basic Definitions. The Matrix Exponential. Input/Output Response. Linearization. Further Reading. Exercises. State Feedback. Reachability. Stabilization by State Feedback. Design Considerations. Integral Action. Linear Quadratic Regulators. Further Reading. Exercises. Output Feedback. Observability. State Estimation. Control Using Estimated State. Kalman Filtering. State Space Controller Design. Further Reading. Exercises. Transfer Functions. Frequency Domain Modeling. Determining the Transfer Function. Laplace Transforms. Block Diagrams and Transfer Functions. Zero Frequency Gain, Poles, and Zeros. The Bode Plot. Further Reading. Exercises. Frequency Domain Analysis. The Loop Transfer Function. The Nyquist Criterion. Stability Margins. Bode's Relations and Minimum Phase Systems. Generalized Notions of Gain and Phase. Further Reading. Exercises. PID Control. Basic Control Functions. Simple Controllers for Complex Systems. PID Tuning. Integral Windup. Implementation. Further Reading. Exercises. Frequency Domain Design. Sensitivity Functions. Performance Specifications. Feedback Design via Loop Shaping. Feedforward Design. The Root Locus Method. Design Example. Further Reading. Exercises. Robust Performance. Modeling Uncertainty. Stability in the Presence of Uncertainty. Performance in the Presence of Uncertainty. Design for Robust Performance. Further Reading. Exercises. Fundamental Limits. System Design Considerations. Bode's Integral Formula. Gain Crossover Frequency Inequality. The Maximum Modulus Principle. Robust Pole Placement. Nonlinear Effects. Further Reading. Exercises. Architecture and System Design. Introduction. System and Control Design. Top-Down Architectures. Bottom-Up Architectures. Interaction. Adaptation and Learning. Control Design in Common Application Fields. Further Reading. Bibliography. Index

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Astrom K. Feedback Systems. An Introduction...2ed 2021.pdf 20.4 MB

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astrom k feedback systems introduction 2ed 2021