The implementation of complex digital control techniques, like MPC, is becoming increasingly adopted in embedded systems, where reduced precision computation techniques are embraced to achieve fast execution and low power consumption.
The purpose of this work is to provide a tool for studying the influence of uncertainty propagation on both stability and performance of a vibration control system, whilst avoiding the need for computationally expensive probabilistic methods or complex robust control techniques.
The motivation of the proposed control strategy is that, without any addition of soft computing techniques or complex control law, the proposed control technique can able to achieve the control objective, i.e. maximum power capture and reduced transient on the drive train with different level of disturbances.
Its greater computational ability makes the substitution possible and also permits the application of more complex advanced-control techniques.
Turbines are very complex systems that require advanced control techniques to ensure the proper control of their operating parameters.
Additional passive damping techniques and complex control algorithms are used to suppress resonance.
One of them naturally consists in adopting the advanced compatible techniques for specifying complex control- and data-flow requirements.
From a control theory perspective, control techniques used for complex engineering systems should in principle be applicable to the regulation of cellular systems.
Among numerous control techniques, fuzzy logic controller (FLC) has increasing popularity in designing complex IM control system due to their simplicity and adaptability.
Teaching is a complex and demanding activity that involves mastery of content, classroom control, techniques of organization, and command of teaching skills.
