Author Details

Precup, Radu-Emil, Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania

  • Vol 15, No 2 (2017) - Articles
    AUTOMOTIVE APPLICATIONS OF EVOLVING TAKAGI-SUGENO-KANG FUZZY MODELS
    Abstract  PDF
  • Vol 17, No 3 (2019) - Articles
    RESULTS AND CHALLENGES OF ARTIFICIAL NEURAL NETWORKS USED FOR DECISION-MAKING AND CONTROL IN MEDICAL APPLICATIONS
    Abstract  PDF
  • Vol 18, No 2 (2020) - Articles
    A CENTER MANIFOLD THEORY-BASED APPROACH TO THE STABILITY ANALYSIS OF STATE FEEDBACK TAKAGI-SUGENO-KANG FUZZY CONTROL SYSTEMS
    Abstract  PDF
  • Vol 20, No 1 (2022) - Articles
    A LOW-COST APPROACH TO DATA-DRIVEN FUZZY CONTROL OF SERVO SYSTEMS
    Abstract  PDF
  • Vol 21, No 1 (2023) - Articles
    DISCRETE-TIME MODEL-BASED SLIDING MODE CONTROLLERS FOR TOWER CRANE SYSTEMS
    Abstract  PDF
  • Vol. 21, No 4 (2023) - Articles
    Q-LEARNING, POLICY ITERATION AND ACTOR-CRITIC REINFORCEMENT LEARNING COMBINED WITH METAHEURISTIC ALGORITHMS IN SERVO SYSTEM CONTROL
    Abstract  PDF
  • Vol. 22, No 4 (2024) - Articles
    METAHEURISTIC-BASED TUNING OF PROPORTIONAL-DERIVATIVE LEARNING RULES FOR PROPORTIONAL-INTEGRAL FUZZY CONTROLLERS IN TOWER CRANE SYSTEM PAYLOAD POSITION CONTROL
    Abstract  PDF