Distributed receding horizon discrete-time filtering is presented here, which combines a Kalman filter and receding horizon strategy. Distributed fusion with the weighted sum structure is then applied to local receding horizon Kalman filters (LRHKFs) having non-equal horizon time intervals. The proposed distributed algorithm has a parallel structure that allows for the parallel processing of ob...

In this survey, receding horizon control is presented as a method for obtaining approximately optimal solutions to infinite horizon optimal control problems by iteratively solving a sequence of finite horizon optimal control problems. We investigate conditions under which we can obtain mathematically rigorous approximation results for this approach. A key ingredient of our analysis is the so-ca...

supply chain network   receding horizon control demand move suppression term   supply chain networks are interconnection and dynamics of a demand network. example subsystems, referred to as stages, include raw materials, distributors of the raw materials, manufacturers, distributors of the manufactured products, retailers, and customers. the main objectives of the control strategy for the suppl...

Current increases in the demand for electricity require sustainable energy management measures and have promoted adoption of clean renewable sources, particularly at residential building level. Active is usually carried out through load shifting based on specific techniques, such as optimisation, heuristics, model-based predictive control machine learning methodologies. This work addresses prob...

This paper details the application of a constrained receding horizon control technique to stabilize an indoor vectored-thrust flight experiment, known as the Caltech Ducted Fan, subjected to step commands. The result of the experiment sheds light on the theoretical stability of the receding horizon control strategy as well as validates some efficient computation techniques for solving nonlinear...

This paper addresses the design of a dynamic state feedback receding horizon controller, which guarantees robust constraint satisfaction, robust stability and offset-free control of constrained linear systems in the presence of time-varying setpoints and unmeasured disturbances. This objective is obtained by first designing a dynamic linear offset-free controller and computing an appropriate do...

This paper presents a distributed receding horizon filtering algorithm for multisensor continuous-time linear stochastic systems. Distributed fusion with a weighted sum structure is applied to local receding horizon Kalman filters having different horizon lengths. The fusion estimate of the state of a dynamic system represents the optimal linear fusion by weighting matrices under the minimum me...

In this work, we consider a group of differential-wheeled robots endowed with noisy relative positioning capabilities. We develop a decentralized approach based on a receding horizon controller to generate, in real-time, trajectories that guarantee the convergence of our robots to a common location (i.e. rendezvous). Our receding horizon controller is tailored around two numerical optimization ...