Exact(17)
Furthermore, the optimal standard controller and the optimal reliable controller are compared to show the necessity of reliable control.
In order to consider a more realistic situation in designing a reliable controller, Gaussian stochastic process is introduced to the concept of reliable control system.
An essential issue in the formation control of Unmanned Aerial Vehicles (UAVs) is to design a reliable controller in their path planner level to handle all interactions between the continuous dynamics of the system and inherent discrete nature of the decision making unit, which has been embedded to coordinate the control submodules.
Thus, it is a difficult task to design a robust reliable controller for this system.
Thirdly, a reliable controller is derived to guarantee the exponential stability with L 1 -gain property of the resulting closed-loop systems.
Sufficient conditions for the existence of the reliable controller are formulated in terms of a set of LMIs.
Similar(43)
Procedures for designing reliable controllers are presented for the case of sensor failures and actuator failures that can be modeled by a scaling factor and a disturbance.
This paper aims to present this new direction that seeks to synergize broad areas of RL and Game theory, as an interesting and challenging avenue for designing intelligent and reliable controllers.
Several sufficient conditions for the existence of observers and reliable controllers are derived in terms of the solutions to certain matrix inequalities that can be solved effectively by using available software.
The development of reliable controllers can be a complex task, mainly because there is no well-established systematic methodology developed specifically for this purpose, considering all range, from requirements analysis till code implementation in real controller and considering real-time implementation issues.
Using improved V K iteration algorithm, a class of reliable controllers are designed to make systems asymptotically mean square stable under several stochastic disturbances such as random time-delay and stochastic actuator failure and the maximal redundancy degree is given through this method.
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