title: Multi-objective optimization framework for networked predictive controller design.
abstract: Networked Control Systems (NCSs) often suffer from random packet dropouts which deteriorate overall system's stability and performance. To handle the ill effects of random packet losses in feedback control systems, closed over communication network, a state feedback controller with predictive gains has been designed. To achieve improved performance, an optimization based controller design framework has been proposed in this paper with Linear Matrix Inequality (LMI) constraints, to ensure guaranteed stability. Different conflicting objective functions have been optimized with Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The methodology proposed in this paper not only gives guaranteed closed loop stability in the sense of Lyapunov, even in the presence of random packet losses, but also gives an optimization trade-off between two conflicting time domain control objectives.
authors.affiliation: Department of Power Engineering, Jadavpur University, Salt Lake Campus, LB-8, Sector 3, Kolkata 700098, India. das_sourav@live.in
authors.forename: Sourav
authors.initials: S
authors.lastname: Das
authors.forename: Saptarshi
authors.initials: S
authors.lastname: Das
authors.forename: Indranil
authors.initials: I
authors.lastname: Pan
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D003198:Computer Simulation; D005246:Feedback; D008962:Models, Theoretical