Data-driven control of nonlinear systems: an on-line direct approach

DOI10.1016/j.automatica.2016.09.032zbMath1351.93062OpenAlexW2547247639MaRDI QIDQ2374456

Carlo Novara, Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari

Publication date: 15 December 2016

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11311/1022928

zbMATH Keywords

nonlinear controladaptive controldynamic inversionidentification for controldata-driven control

Mathematics Subject Classification ID

Feedback control (93B52) System identification (93B30) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55)

Related Items (18)

Data-based stabilization of unknown bilinear systems with guaranteed basin of attraction ⋮ Data-driven control of nonlinear systems: an on-line direct approach ⋮ Learning model predictive control with long short‐term memory networks ⋮ Introducing system identification strategy into model predictive control ⋮ Distributed adaptive dynamic programming for data-driven optimal control ⋮ Optimal direct data-driven control with stability guarantees ⋮ Finite sample properties of virtual reference feedback tuning control ⋮ Distributed iterative learning temperature control for multi-zone HVAC system ⋮ Data-driven disturbance observer-based control: an active disturbance rejection approach ⋮ Hybrid online learning control in networked multiagent systems: A survey ⋮ Direct data-driven design of LPV controllers with soft performance specifications ⋮ On a probabilistic approach to synthesize control policies from example datasets ⋮ Data-driven control via Petersen's lemma ⋮ Application of interval predictor model into robust model predictive control ⋮ Stealth identification strategy for closed loop system structure ⋮ Model-free adaptive control design for nonlinear discrete-time processes with reinforcement learning techniques ⋮ Zonotope parameter identification for virtual reference feedback tuning control ⋮ A convex optimization approach to synthesizing state feedback data-driven controllers for switched linear systems

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