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This paper, the second part of the two-part series, reports on the further development of the controller to improve its control sensitivity and the associated controllability test results.
Part II of the two-part series reports on the further development of the controller to improve its control sensitivity, and the results of associated controllability tests.
Following the development of the controller, numerical simulations with generic feedback using a realistic scenario with fused vision and force feedbacks are presented to demonstrate the positioning performance capability in the nanomanipulation applications considered here.
The process of modeling the engine, development of the controller, the hardware set-up that was utilized in running the controller validation work and, the results of utilizing the proposed system over transient cycles (e.g., FTP) and other certification cycles (e.g., RMCSET cycle) are presented.
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Thus, the learning control system is a further development of the adaptive controller.
The design and development of this controller is discussed in detail and simulation results showing learning progress and performance are presented.
This paper presents the development of the prototype controller, method and result of the experimental testing.
The neural network training algorithm, behavior of learning function, and development of the neural controller can be seen in our previous publication [19].
Based on the augmentation of spacecraft dynamics and kinematics, a pseudo-linear formulation is derived and used for the development of the basic controller.
The BBC has appointed Sam Taylor, the corporation's head of editorial development, as the controller of the BBC News channel and the BBC1 1pm news bulletin.
Analyzing the controller performance during cornering also provides an insight to the future development of the feedback longitudinal controller.
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