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Download instructor resources. Additional order info. For engineering courses in computer-controlled systems or digital control in electrical and mechanical engineering. This text provides a balanced survey of theory and practical aspects of computer-controlled systems. Design methods are given substantial coverage. Computer Control. Computer Technology. Computer-Control Theory. Inherently Sampled Systems. How Theory Developed. Sampling Continuous-Time Signals. Discrete-Time Systems.
Changing Coordinates in State-Space System. Input-Output Models. The z-Transform. Poles and Zeros. Selection of Sampling Rate. Sensitivity and Robustness.
Controllability, Reachability, Observability, and Detectability. Analysis of Simple Feedback Loops. Control-System Design. Regulation by State Feedback. Output Feedback. The Servo Problem. A Design Example.
A Simple Design Problem. The Diophantine Equation. More Realistic Assumptions. Sensitivity to Modeling Errors. A Design Procedure. Design of a Controller for the Double Integrator. Design of a Controller for the Harmonic Oscillator. Design of a Controller for a Flexible Robot Arm. Relations to Other Design Methods. Operational Aspects. Principles of Structuring. A Top-Down Approach. A Bottum-Up Approach. Design of Simple Loops. A Computer-Controlled System. Sampling and Reconstruction.
Aliasing or Frequency Folding. The Modulation Model. Frequency Response. Pulse-Transfer-Function Formalism. Multirate Sampling. Approximations Based on Transfer Functions.
Approximations Based on State Models. Frequency-Response Design Methods. Digital PID-Controllers. An Overview. Prefiltering and Computational Delay. Nonlinear Actuators. Realization of Digital Controllers. Reduction of Effects of Disturbances. Piecewise Deterministic Disturbances.
Stochastic Models of Disturbances. Continuous-Time Stochastic Processes. Sampling a Stochastic Differential Equation. Linear Quadratic Control. Prediction and Filtering Theory. Linear Quadratic Gaussian Control. Practical Aspects.
Problem Formulation. Optimal Prediction. Minimum-Variance Control. Mathematical Model Building. System Identification. The Principle of Least Squares. Recursive Computations. Matrix Functions. Matrix-Inversion Lemma. Notes and References. Pearson offers special pricing when you package your text with other student resources. If you're interested in creating a cost-saving package for your students, contact your Pearson rep.
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Out of print. If You're an Educator Download instructor resources Additional order info. If You're a Student Additional order info. Overview Features Contents Order Overview. Description For engineering courses in computer-controlled systems or digital control in electrical and mechanical engineering. Reorganized for greater flexibility: the first nine chapters provide enough material for a short course, while more advanced material is left for later chapters.
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Computer-Controlled Systems: Theory and Design, 3rd Edition
Computer-Controlled Systems : Theory and Design
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