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Traditional methods for extremum seeking control (ESC) disregard possible prior knowledge of the system model. In practice, however, these models are usually known, but they contain uncertain parameters. Assuming that partial knowledge about the system model is available, ESC problem has been solved recently for two different cases where systems outputs are considered to be measurable in one and immeasurable...
Time is a foundational aspect of Cyber-Physical Systems (CPS). Correct time and timing of system events are critical to optimized responsiveness to the environment, in terms of timeliness, accuracy, and precision in the knowledge, measurement, prediction, and control of CPS behavior. However, both the specification and verification of timing requirements of the CPS are typically done in an ad-hoc...
Many modern cyber-physical systems (CPS), especially industrial automation systems, require the actions of multiple computational systems to be performed at much higher rates and more tightly synchronized than is possible with ad hoc designs. Time is the common entity that computing and physical systems in CPS share, and correct interfacing of that is essential to flawless functionality of a CPS....
In this study, adaptive control of a two-axis gimbal system with actuator dynamics in the presence of parametric uncertainties is addressed. The considered gimbal system is a pointing antenna which can rotate over y and z axes and covers all line of sights. Adaptive dynamic surface control technique is used to overcome the ‘explosion of complexity’ problem which appears in adaptive backstepping control...
In common extremum seeking control methods, available knowledge of the system is disregarded. However, systems usually have known models with parametric uncertainties. Extremum seeking control for these systems have been solved recently, assuming output to be measurable or immeasurable. The problem for the case with immeasurable output has been solved only for a restricted class of nonlinear systems...
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