Particle swarm optimisation in nonlinear model predictive control; comprehensive simulation study for two selected problems

DOI10.1080/00207179.2020.1727957zbMath1478.93182OpenAlexW3005816272MaRDI QIDQ5165270

Joanna Zietkiewicz, Piotr Kozierski, Wojciech Giernacki

Publication date: 16 November 2021

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2020.1727957

zbMATH Keywords

nonlinear controlmodel predictive controlparticle swarm optimisation

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Nonlinear systems in control theory (93C10) Model predictive control (93B45)

Related Items (2)

Fast nonlinear model predictive controller using parallel PSO based on divide and conquer approach ⋮ LMI-Based Robust Fuzzy Model Predictive Control of Discrete-Time Fuzzy Takagi-Sugeno Large-Scale Systems Based on Hierarchical Optimization and H∞ Performance

Cites Work

• Unnamed Item
• Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
• A Comparison of Discretization Methods for Parameter Estimation of Nonlinear Mechanical Systems Using Extended Kalman Filter: Symplectic versus Classical Approaches
• Introduction of Feedback Linearization to Robust LQR and LQI Control – Analysis of Results from an Unmanned Bicycle Robot with Reaction Wheel

This page was built for publication: Particle swarm optimisation in nonlinear model predictive control; comprehensive simulation study for two selected problems