Application of Modified Teaching-Learning Algorithm in Coordination Optimization of TCSC and SVC

Xiao, Liwu; Zhu, Qianlong; Li, Canbing; Cao, Yijia; Tan, Yi; Li, Lijuan

doi:10.1007/978-3-662-45646-0_5

Cited by 5 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [91], multi-criteria optimization of the PID controller parameters was carried out using an improved "teaching-learning" search algorithm that excludes the function values from falling into a local minimum. For this, the learning phase is no longer limited to two learners and is combined with an additional state.…”

Section: Optimization Problemsmentioning

confidence: 99%

Methods of Intelligent Control in Mechatronics and Robotic Engineering: A Survey

Zaitceva

Andrievsky

2022

Electronics

View full text Add to dashboard Cite

Artificial intelligence is becoming an increasingly popular tool in more and more areas of technology. New challenges in control systems design and application are related to increased productivity, control flexibility, and processing of big data. Some kinds of systems require autonomy in real-time decision-making, while the other ones may serve as an essential factor in human-robot interaction and human influences on system performance. Naturally, the complex tasks of controlling technical systems require new modern solutions, but there remains an inextricable link between control theory and artificial intelligence. The first part of the present survey is devoted to the main intelligent control methods in technical systems. Among them, modern methods of adaptive and optimal control, fuzzy logic, and machine learning are considered. In its second part, the crucial achievements in intelligent control applications in robotic and mechatronic systems over the past decade are considered. The references are structured according to the type of such common control problems as stabilization, controller tuning, identification, parametric optimization, iterative learning, and prediction. In the conclusion, the main problems and tendencies toward intelligent control methods improvement are outlined.

show abstract

Section: Optimization Problemsmentioning

confidence: 99%

Methods of Intelligent Control in Mechatronics and Robotic Engineering: A Survey

Zaitceva

Andrievsky

2022

Electronics

View full text Add to dashboard Cite

show abstract

“…121. Xiao et al (2014) A multiobjective optimization problem was formulated and a modified TLBO algorithm was used to coordinate the Thyristor Controlled Series Capacitor (TCSC), Static…”

Section: Sreenivasulu Et Al (2014)mentioning

confidence: 99%

Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems

Rao¹

2016

10.5267/j.dsl

View full text Add to dashboard Cite

Applications of TLBO Algorithm and Its Modifications to Different Engineering and Science Disciplines

Rao

2015

Teaching Learning Based Optimization Algorithm

View full text Add to dashboard Cite

Application of Modified Teaching-Learning Algorithm in Coordination Optimization of TCSC and SVC

Cited by 5 publications

References 11 publications

Methods of Intelligent Control in Mechatronics and Robotic Engineering: A Survey

Methods of Intelligent Control in Mechatronics and Robotic Engineering: A Survey

Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems

Applications of TLBO Algorithm and Its Modifications to Different Engineering and Science Disciplines

Contact Info

Product

Resources

About