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The chapter is a brief introduction to the embedded model control methodology.
The disturbance rejection design is deployed using the Embedded Model Control methodology.
This introductory chapter explains the reasons for adopting the embedded model control methodology in the design of the spacecraft orbit and attitude control algorithms addressed by the book.
Following the Embedded Model Control methodology, a unique discrete-time state equation is derived and employed by guidance, navigation and control.
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Further details on the model identification, control methodology and stochastic modeling of insulin sensitivity are published elsewhere [ 24, 26, 30].
Both the high-level planner and low-level controller are formulated based on the model predictive control methodology.
The present work reports a novel genetic algorithm (GA) based strategy for designing efficient 'global' pH controllers in highly nonlinear neutralisation reactors, wherein linear internal model control (IMC) methodology and generic nonlinear compensators defined from acid base principles are applied.
Embedded Model Control (EMC) methodology is applied to web-winding control problems.
In Albalawi et al. (2016), a safety-based economic model predictive control methodology (safety-EMPC) was developed to operate nonlinear processes in an economically-optimal manner while maintaining process safety and closed-loop stability.
In addition, this paper incorporates a model predictive control methodology to obtain the behavior of the storages and orders of the supply chain; where the objective function is the difference between the required and satisfied demands in the markets.
This paper presents a systematic modeling and control methodology for a two-dimensional flexure beam-based servo stage supporting micro/nano manipulations.
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