ASTROM WITTENMARK COMPUTER CONTROLLED SYSTEMS PDF

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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.

We're sorry! We don't recognize your username or password. Please try again. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. You have successfully signed out and will be required to sign back in should you need to download more resources.

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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