Work

Data-driven homotopic reinforcement learning for adaptive tracking control of completely unknown Takagi–Sugeno fuzzy Markovian jump systems

Year: 2026

Type: article

Source: Communications in Nonlinear Science and Numerical Simulation

DOI: 10.1016/j.cnsns.2026.110869

Authors: Yershat Sapazhanov, Shirali Kadyrov, Rakkiyappan Rajan, Ardak Kashkynbayev

Institutions: Narxoz University, Institute of Mathematics and Mathematical Modeling, Ajman University, Suleyman Demirel University, Bharathiar University, Nazarbayev University

Language: English

Topic: Adaptive Dynamic Programming Control

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Ministry of Education and Science of the Republic of Kazakhstan

Award: G2665726750

OpenAlex ID: W7214227152

FWCI:

Cites: 15

Cited by:

Related to: 10