Mcf Tijs Donkers

TL;DR: This paper provides one of the first approaches to the design of decentralized observer-based outputfeedback controllers for linear plants where the controllers, sensors and actuators are connected via a shared communication network subject to time-varying transmission intervals and delays.

TL;DR: In this paper, the authors argue that all existing EIS-based methods implicitly distinguish two steps: experiment design and parameter estimation, and by distinguishing these steps and by performing Monte-Carlo simulations, all existing methods are compared in terms of accuracy (i.e., mean square error) of the temperature estimate.

TL;DR: In this paper, a two-step estimation approach is proposed that only uses voltage and current measurements of the battery under consideration, and a parameter sensitivity analysis is done to find a subset of parameters that can be reliably estimated using current and voltage measurements.

TL;DR: In this paper, the authors provide a unifying modeling framework that incorporates all these imperfections simultaneously, and present novel techniques for the stability analysis for these networked control systems (NCSs).

TL;DR: This paper proposes a computationally efficient implementation of the full DFN battery model, which is convenient for real-time applications and based on applying model order reduction to a spatial and temporal discretisation of the governing model equations.