Enables readers to master and apply the operator-theoretic approach
Control of nonlinear systems is a multidisciplinary field involving
electrical engineering, computer science, and control engineering.
Specifically, this book addresses uncertain nonlinearity. Beginning with
how real plants are modeled as operator-based plants, the author
develops a systematic methodology that enables readers to understand a
quantitative stability result, a critical factor in any nonlinear
control system's stability and performance.
Operator-Based Nonlinear Control Systems: Design and Applications
focuses on the operator-theoretic approach, offering detailed examples
on how to apply it to network controlled systems. In addition to current
research results, the author explores future research directions and
applications of the operator-theoretic approach. The book begins with an
introduction that defines nonlinear systems. Next, it covers:
- Robust right coprime factorization for nonlinear plants with
uncertainties
- Robust stability of operator-based nonlinear control systems
- Tracking issues and fault detection issues in nonlinear control
systems
- Operator-based nonlinear control systems with smart actuators
- Nonlinear feedback control for large-scale systems using a distributed
control system device
Throughout the book, discussions of actual applications help readers
understand how the operator-theoretic approach works in practice.
Operator-Based Nonlinear Control Systems is recommended for students
and professionals in control theory engineering and applied mathematics.
Working with this expertly written and organized book, they will learn
how to obtain robust right coprime factorization for modeled plants.
Moreover, they will discover state-of-the-technology research results on
robust stability conditions as well as the latest system output tracking
and fault detection issues that are challenging today's researchers.
