The algorithms considered are PI (proportional-integral) control, nonlinear IMC (internal model control), and RNCL (robust nonlinear control law).
In the context of production, data-driven approaches can exploit observational data to model, control and improve process performance.
Recently, studies in [76, 77] and [78, 79, 80, 81, 82, 83] separately gave some good examples for slide model control and full-state feedback control.
X-machines model control and data flow unambiguously, and have associated with them a test set generation method that is amenable to automation.
To model, control and evaluate the performance of cooperative tasks among agents, a kind of Petri Net, called Work-Flow Petri Net, is used.
Moreover, the results indicated that the EMAS can be further employed as a reliable tool to select important variables, predict complicated problems, model, control, and optimize fuel consumption in iron making plants and other energy facilities.
The proposed controller inherits the advantages of both the multi-model control and fuzzy control.
It employs electric actuation instead of hydraulics for indoor power autonomy, improved modeling, control and reliability.
Researches on the modeling, control, and capacity allocation of lithium battery energy storage systems have been reported.
Design, modeling, control and limitations of a wind fuel cell hybrid energy system are discussed.
In this paper we report the first effort on the modeling, control and visual servoing of L-MCRS.
