Algorithms for PID Controller 2024 (Hardcover)
Ramiro Barbosa
Sold by AussieBookSeller, Truganina, VIC, Australia
AbeBooks Seller since June 22, 2007
New - Hardcover
Condition: New
Ships from Australia to U.S.A.
Quantity: 1 available
Add to basketSold by AussieBookSeller, Truganina, VIC, Australia
AbeBooks Seller since June 22, 2007
Condition: New
Quantity: 1 available
Add to basketHardcover. To date, the PID controller is still the most commonly used algorithm for control applications. Since it was first developed, the PID algorithm has gone hand in hand with the evolution of science and engineering, and new methods and applications have been introduced over time. Advances in recent decades, provided by the area of fractional calculus and metaheuristic algorithms, and, more recently, by artificial intelligence, have given rise to a refreshing boost to PID control.This reprint aims to present the most recent developments in the design, tuning, and applications of PID controllers. The focus is on reporting theoretical and applied research results in control structures, optimization techniques, metaheuristic algorithms, tuning methods, digital implementations, and applications of the PID algorithm, among others, and the use of current artificial intelligence techniques, such as machine learning, deep learning, and reinforcement learning. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller Inventory # 9783725872664
To date, the PID controller is still the most commonly used algorithm for control applications. Since it was first developed, the PID algorithm has gone hand in hand with the evolution of science and engineering, and new methods and applications have been introduced over time. Advances in recent decades, provided by the area of fractional calculus and metaheuristic algorithms, and, more recently, by artificial intelligence, have given rise to a refreshing boost to PID control.
This reprint aims to present the most recent developments in the design, tuning, and applications of PID controllers. The focus is on reporting theoretical and applied research results in control structures, optimization techniques, metaheuristic algorithms, tuning methods, digital implementations, and applications of the PID algorithm, among others, and the use of current artificial intelligence techniques, such as machine learning, deep learning, and reinforcement learning.
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