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Bibliografía

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. PID Control in the Third Millennium provides an overview of the advances made as a result. Featuring: new approaches for controller tuning; control structures and configurations for more efficient control; practical issues in PID implementation; and non-standard approaches to PID including fractional-order, event-based, nonlinear, data-driven and predictive control; the nearly twenty chapters provide a state-of-the-art resumé of PID controller theory, design and realization. Each chapter has specialist authorship and ideas clearly characterized from both academic and industrial viewpoints. PID Control in the Third Millennium is of interest to academics requiring a reference for the current state of PID-related research and a stimulus for further inquiry. Industrial practitioners and manufacturers of control systems with application problems relating to PID will find this to be a practical source of appropriate and advanced solutions. Each chapter has a strong industrial correlation, and therefore the book will be of interest to process control vendors and industrial engineers who are looking for new methodologies to implement. Each chapter is written by a well-known expert in the field and therefore each topic is covered in depth by a world-leading specialist. Gives the reader new methods for improving the performance of the most widely applied form of control in the industry.

Índice: PID Tuning. Model-based PID Tuning. Tuning Rules for Integral and Unstable Systems. Robust Tuning of PID Controllers. PID Tuning for Smooth Control. PID Control of MIMO Processes. Feedforward plus PID Control. PID-based Control Structures. Robust Multivariable PID Controller Design. Identification for PID Control. Design based on the Characterization of all Stabilizing PID Controllers. Fragility Evaluation of PID Controller Tuning Rules. Performance Assessment for PID Control. Industrial Applications of PID Control. Fractional-order PID Control. Nonlinearisation of PID Control. Data-driven PID Control. Pre... Etc.