Multi-Objective Design of Nonlinear Robust Tracking Systems Based on Particles Swarm Optimization Algorithms

@InProceedings{10.1007/978-981-96-4880-1_13, author="Kuznetsov, Borys and Nikitina, Tatyana and Bovdui, Ihor and Voliansky, Roman and Sushchenko, Olha and Averyanova, Yuliya and Solomentsev, Oleksandr and Holubnychyi, Oleksii and Zaliskyi, Maksym and Bezkorovainyi, Yurii and Cherednichenko, Kostiantyn and Sokolova, Olena and Ivannikova, Viktoriia and Ostroumov, Ivan", editor="Shukla, Samiksha and Sayama, Hiroki and Tiwari, Kapil and Kureethara, Joseph Varghese", title="Multi-Objective Design of Nonlinear Robust Tracking Systems Based on Particles Swarm Optimization Algorithms", booktitle="Data Science and Security", year="2025", publisher="Springer Nature Singapore", address="Singapore", pages="157--165", abstract="Nonlinear robust control (NRC) multi-objective design problem (MDP) by uncertain multibody electromechanical tracking systems (UMETS) formulated. State vector functionally multiple membership concept (SVFMMC) based on satisfying various requirement possibilities (SVRP) to various modes system operations imposed (VMSOI) is shown. Hamilton--Jacobi-Bellman-Isaacs equation (HJBIE)-based solution possibility is shown. Weight matrix calculation method is substantiated and developed. Stochastic multiagent optimization algorithm (SMOA)-based robust control goal vector (RCGV) is calculated as multi-objective nonlinear programming problem solution (MNPPS). Vector nonlinear objective function (VNOF) calculated by modeling plant closed by designed NRC in VMSOI and with various input signals (VIS). Modeling and experimental study results (MESR) of UMTS are presented. MDP for NRC application by UMETS based on SVFMMC, MDP, HJBIE, and SMOA of SVRP made it possible significantly increased design UMETS in VMSOI and reduced designed system sensitivity to plant parameters uncertainty are shown.", isbn="978-981-96-4880-1" }