Publications
Article · Communications in Nonlinear Science and Numerical Simulation · September 24, 2026
Data-driven homotopic reinforcement learning for adaptive tracking control of completely unknown Takagi–Sugeno fuzzy Markovian jump systems
Yershat Sapazhanov, Shirali Kadyrov, Rajan Rakkiyappan, Ardak Kashkynbayev
Adaptive Dynamic Programming ControlReinforcement Learning in RoboticsAdaptive Control of Nonlinear Systemsadaptive tracking controlTakagi-Sugeno fuzzy systemsMarkovian jump systems
More by Shirali Kadyrov
- Bounded continued fractions and quadratic orders in $\Q(\sqrt{127})$arXiv · 2026
- Code and data for "Reinforcement learning-based PID for nonlinear temperature control with delayed feedback and measurement noise"Zenodo · 2026
- Life expectancy in Kazakhstan: an integrated analysis and forecastZenodo · 2026
- Evaluating Robustness of AI-Generated Text Detectors Under Simulated Iterative Obfuscation2026