Data-driven control without using mathematical models is a promising research direction for urban traffic due to the massive amounts of data generated every day. This article proposes novel distributed model-free adaptive predictive (D-MFAPC) approach multiregion networks. More specifically, dynamics network regions are first transformed into MFAPC models, and then, derived instead serve as pre...

This application paper addresses the use of adaptive predictive control on arc welding trailing centerline temperature control. For tackling the high level of uncertainty in the process the multivariable multipredictive adaptive regulator (MUSMAR) adaptive algorithm, relying on separate estimation of predictive models is used. Experimental results presented include characterization of plant unc...

This paper employs nonlinear disturbance observer (NDO) for robust trajectory-free Nonlinear Model Predictive Control (NMPC) of biped robots. The NDO is used to reject the additive disturbances caused by parameter uncertainties, unmodeled dynamics, joints friction, and external slow-varying forces acting on the biped robots. In contrary to the slow-varying disturbances, handling sudden pushing ...