Control Systems: Theory and Applications (River Publishers Series in Automation, Control, and Robotics)

Hardcover, xxxii + 329 pages, NOT ex-library. Book looks unread, clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- This technical volume is organized into two sections, one dealing with theoretical advancements in control systems and the other with a diverse range of applied implementations. The first part focuses on discrete-time and nonlinear systems, introducing mathematical tools and strategies for managing bounded perturbations and maintaining system invariance. Topics include methods for constructing interval invariant sets for nonlinear discrete systems using multivalued mappings and norm-based bounds, addressing stability through criteria based on Lyapunov functionals. A further contribution applies conflict-controlled game theory to the motion control of dynamic systems, particularly fractional systems, with emphasis on strategy formulation under conditions of incomplete or delayed information. Another chapter investigates cognitive maps in impulse process control, combining deterministic and noisy identification scenarios with applications in automating decision structures, such as human resources management systems. In the context of supply chains, a study on decentralized guaranteed cost inventory control presents a framework for managing uncertainty and transport delays using ellipsoidal approximation and Lyapunov-based stability conditions. The final theoretical contribution explores a method of nondimensionalization to reduce the number of modeling parameters in complex nonlinear systems, improving computational tractability while retaining the essential dynamics through self-similarity criteria. The second part of the book is centered on real-world applications across various industries. One chapter focuses on improving energy efficiency in intelligent control systems by modeling situational-event dynamics using fuzzy logic and probabilistic frameworks. Another presents an ellipsoidal filtering method for estimating the pose of uncooperative spacecraft from visual data, applying machine learning to reduce computational overhead in pose recognition. A detailed study of fuzzy control design for floating docks examines the optimization of control parameters for low-tonnage vessel operations using a hybrid method of expert rules and numerical tuning. In the context of food production, the volume addresses efficiency control in multi-assortment processes, modeling decision-making under risk and uncertainty and using logical-dynamic structures to manage batch variability. The coordinate determination of satellite imagery is treated through various geometric calibration algorithms, with attention to stereoscopic methods, photogrammetry, and in-flight error correction. Other chapters include the development of robotic electrotechnical systems for greenhouse environments, where algorithms manage real-time phytomonitoring and atmospheric adjustment, and the use of spectral imaging systems for remote crop monitoring, integrating infrared and visible-spectrum data to optimize harvesting strategies and biomass usage in bioenergy production. A final contribution presents a combined multivariable stabilization system for controlling adsorption processes in hydrogen purification, minimizing thermodynamic losses through a dual-circuit control architecture. Throughout the volume, emphasis is placed on practical algorithms, simulation models, and engineering applicability. Theoretical rigor is paired with examples from aerospace, agriculture, manufacturing, and remote sensing, demonstrating how control systems can be adapted to various physical and organizational constraints. The coverage of robust control design, system modeling under uncertainty, and cross-domain applications provides a foundation useful for postgraduate education, systems engineering, and applied research.