Motivated by the fact that many nonlinear plants can be represented through Linear
Parameter Varying (LPV) embedding, and being this framework very popular for control …

This paper puts forward a PD-type iterative learning control algorithm for a class of discrete
spatially interconnected systems with unstructured uncertainty. By lifting and changing the …

This paper proposes a new framework to distributed model predictive control (MPC) design
for linear time-and space-invariant (LTSI) distributed systems subject to constraints. Given a …

This note proposes a distributed model predictive control (DMPC) scheme with switched
cost functions for a class of spatially interconnected systems with communication constraints …

This contribution introduces a new system for distributed model predictive control of energy
systems. This system uses multiple agents where each agents optimizes a subsystem. A …