Engineering

A practical text/reference on modern control applications in electrical, mechanical, and aerospace engineering.

• briefly reviews system modeling and classical linear control in the transform domain.

• develops the linear algebra/matrix theory needed for state variable analysis.

• explores dynamical systems and their fundamental properties, design methods of pole-placement/observers, and optimal control theory.

• contains numerous worked-out problems.

 1. Background and Preview.


 2. Highlights of Classical Control Theory.


 3. State Variables and the State Space Description of Dynamic Systems.


 4. Fundamentals of Matrix Algebra.


 5. Vectors and Linear Vector Spaces.


 6. Simultaneous Linear Equations.


 7. Eigenvalues and Eigenvectors.


 8. Functions of Square Matrices and the Cayley-Hamilton Theorem.


 9. Analysis of Continuous and Discrete Time State Equations.


10. Stability.


11. Controllability and Observability for Linear Systems.


12. The Relationship between State Variable and Transfer Function Descriptions of Systems.


13. Design of Linear Feedback Control Systems.


14. An Introduction to Optimal Control Theory.


15. An Introduction to Nonlinear Control Systems.

Linear Systems [CORE TEXTS] (Electrical and Computing Engineering)
Advanced Linear Control [CORE TEXTS] (Electrical and Computing Engineering)
Optimal Controls [CORE TEXTS] (Mechanical & Aerospace Engineering)

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Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students, contact your Pearson Higher Education representative for pricing and ordering information.

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students contact your Pearson Higher Education representative.