Fuzzy model predictive control of a DC-DC boost converter based on non-linear model identification
DOI10.1080/13873954.2016.1232283zbMath1485.93155OpenAlexW2523252296MaRDI QIDQ5035710
Drago Matko, Robert Baždarić, Igor Škrjanc, Aleš Leban, Danjel Vončina
Publication date: 22 February 2022
Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/13873954.2016.1232283
fuzzy identificationDC-DC boost converterhybrid modellingfuzzy dynamic matrix control (FDMC)fuzzy predictive functional control (FPFC)robust control of non-linear dynamical systems
Fuzzy control/observation systems (93C42) System identification (93B30) Nonlinear systems in control theory (93C10) Model predictive control (93B45)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Robust constrained model predictive control using linear matrix inequalities
- Robust tracking with \(H_\infty\) performance for PWM systems
- Control of systems integrating logic, dynamics, and constraints
- Nonlinear black-box modeling in system identification: A unified overview
- Piecewise-smooth dynamical systems. Theory and applications
- Shifting nonlinear phenomena in a DC-DC converter using a fuzzy logic controller
- INTERACTION OF FAST-SCALE AND SLOW-SCALE BIFURCATIONS IN CURRENT-MODE CONTROLLED DC/DC CONVERTERS
- A Survey on Explicit Model Predictive Control
- Fuzzy identification of systems and its applications to modeling and control
- Complementarity modeling of hybrid systems
- Design and analysis of fuzzy identifiers of nonlinear dynamic systems
- Relaxing Dynamic Programming
- Handbook of Hybrid Systems Control
- Equivalence of hybrid dynamical models
- Fuzzy predictive functional control in the state space domain
This page was built for publication: Fuzzy model predictive control of a DC-DC boost converter based on non-linear model identification
