Closed loop system adaptation

In ebook "Biohybrid systems: Nerves, interfaces, and machines" the discipline of neurodesign is a highly interdisciplinary one, while at the same time in the process of maturing towards real-life applications. The breakthrough about to be achieved is to close the loop in communication between neural systems and electronic and mechatronic systems and actually let the nervous system adapt to the feedback from the man-made systems. To master this loop, scientists need a sound understanding of neurology, from the cellular to the systems scale, of man-made systems and how to connect the two.

223p dongmelo 27-05-2024 3 3   Download

The primary aim of this research was to further develop the sensing and estimation module of the CHMS framework with an improved multimodal inference model of MWL as needed for the application in aerospace CPHS. Here the focus of this research was on the implementation of a multimodal inference model of MWL that would be developed and experimentally tested. This was done with the purpose of studying the viability of real‐time system adaptation in aerospace systems.

283p runthenight04 02-02-2023 8 2   Download

This control structure is inflexible since using fixed gains. For overcoming this weakness, we integrate variable fractional-order derivative into SMC that leads to an adaptive system with adjustable parameters. We use Mittag–Leffler stability, an enhanced version of Lyapunov theory, to analyze the convergence of closed-loop system. Applying the controller to a practical crane shows the efficiency of proposed control approach. The controller works well and keeps the output responses consistent despite the large variation of crane parameters.

8p spiritedaway36 28-11-2021 12 2   Download

This work deals with the control design and development of an automated car-following strategy that further increases robustness to vehicle dynamics uncertainties. The control algorithm is applied on a hierarchical architecture where high and low level control layers are designed for gap-control and desired acceleration tracking, respectively. A fractional-order controller is proposed due to its flexible frequency shape, fulfilling more demanding design requirements.

9p dayhoctainha 10-09-2020 20 1   Download

This paper develops a generalized adaptive fuzzy control scheme for MIMO nonlinear second order systems. Here, the example robotic manipulators is used to illustrate the control algorithm. The controller for each degree of freedom (DOF) consists of a feedback fuzzy PD systems used to keep the closed-loop stable.

7p praishy2 27-02-2019 25 1   Download

This paper presents a control of active suspension system for quarter-car model with two-degree-of-freedom using H and nonlinear adaptive robust control method. Suspension dynamics is linear and treated by H method which guarantees the robustness of closed loop system under the presence of uncertainties and minimizes the effect of road disturbance to system.

9p sansan2 26-05-2018 51 3   Download

In Chapters 7 and 8 we saw how adaptive control may be used as a systematic design tool to develop dynamic controllers for systems with a great deal of uncertainty while still being able to achieve good closed-loop performance. The techniques presented there, however, assumed that full state information is available for feedback. In this chapter we will extend these tools to develop adaptive output-feedback controllers for both stabilization and tracking.

38p tienvovan 16-09-2010 72 6   Download