In collaboration with Payame Noor University and the Iranian Society of Instrumentation and Control Engineers
Control Theory & Systems
Exploration of Physics Informed Neural Network for Solving Optimal Tracking Control Problems

Fidelis Nofertinus Zai; Rian Kurnia; Juan Prihanda Nainggolan

Volume 11, Issue 2 , May 2026, , Pages 1-19

https://doi.org/10.30473/coam.2025.75192.1322

Abstract
  In this study, we examine solutions to Optimal Tracking Control (OTC) problems for both Linear Quadratic (LQ) and nonlinear systems. Classical approaches to OTC rely on formulating and solving the Hamilton-Jacobi-Bellman (HJB) equation, which typically requires numerical solutions of the state, co-state, ...  Read More

Exploration of Physics Informed Neural Network for Solving Optimal Tracking Control Problems