This work addresses the design of distributed LQG controllers for water delivery canals that include feedforward from local farmer water consumptions. The proposed structure consists of a network of local control agents, each connected to one of the canal pools and sharing information with their neighbors in order to act in a coordinated way. In order to improve performance, the measurement of the outflow from each pool is used as a feedforward signal. Although the feedforward action is local, it propagates due to the coordination procedure. The paper presents the distributed LQG algorithm with feedforward and experimental results in a large scale pilot water delivery canal.

  In this paper, an Internal Model Control (IMC) scheme is incorporated in production inventory control systems in a complete supply chain. The IMC control scheme is enhanced with a novel method for the online identification of lead times based on a multimodel scheme. In this way, all benefits of the IMC scheme can be exploited. Simulation examples illustrate the effectiveness of the approach.

 In this paper, a centralized control approach based in the two-degrees-of-freedom Internal Model Control structure is incorporated in production inventory control for a supply chain system. Analytical tuning rules for bullwhip effect avoidance are developed. The results of controller evaluations demonstrate that centralized control approach presents a good behaviour with respect to the inventory target tracking, demand rejection and bullwhip effect in the supply chain systems.

 In this paper, a hierarchical temporal multi-layer decentralised model predictive control (DMPC) approach is proposed for drinking water networks (DWN). The upper temporal layer works with a daily time scale and is in charge of achieving the global control, i.e., objectives optimal selection of the sources and the path to the reservoirs. On the other hand, the lower temporal layer is in charge of manipulating the setpoint of the actuators to satisfy the local objectives, i.e., the minimisation of the energy needed for pumping water to the reservoirs. The system decomposition is based on graph partitioning theory, which considers the graph representation of the DWN topology. Once obtained, this system decomposition yields to some bidirectional flows of information between the MPC controllers. Hence, the proposed DMPC strategy copes with this feature, resulting in a hierarchical-like scheme. Results obtained when used selected simulation scenarios show the effectiveness of the control strategy in terms of system modularity, reduced computational burden and, at the same time, the admissible loss of performance in contrast to a centralised MPC (CMPC) strategy.

 The paper approaches the problem of power control in mobile wireless networks. We aim at solving the trade-off between conflicting constraints on the bounds of the two relevant variables of the system - the power and the signal-to-interference ratio (SIR) - that is to keep the SIR at a high value with a low power. One of the challenges refers to the partial controllability of the system. We solve the control problem by taking advantage of the inherent system nonlinearities.