Interval Analysis: Application in the Optimal Control Problems (1st Edition) by Navid Razmjooy presents a rigorous and innovative approach to handling uncertainty in optimal control systems. This eBook explores how interval analysis can be effectively applied to model, analyze, and solve optimal control problems where system parameters, constraints, or measurements are uncertain or imprecise.

The book introduces fundamental concepts of interval mathematics and systematically applies them to control theory, optimization techniques, and engineering systems. Through theoretical explanations, algorithmic approaches, and applied examples, the author demonstrates how interval-based methods improve robustness, reliability, and solution validity in complex control problems.

Designed for graduate students, researchers, and professionals in control engineering, applied mathematics, and optimization, this eBook serves as both a learning resource and a reference for advanced research in optimal control under uncertainty.

Key Highlights:

Application of interval analysis to optimal control problems

Methods for managing uncertainty and imprecision in systems

Integration of theory, algorithms, and practical examples

Suitable for advanced study and research in control engineering

Valuable reference for applied mathematics and optimization