Microprocessor-Based Closed-Loop Motor Control A dedi~ated microprocessor control system was built from chip level using the Motorola M6800 family. The system has a keyboard and the interfaces for four LED displays, a phototransistor and a digital-to-analog converter. The system was designed to execute a closed loop motor control. The system accepts key input in RPM and drives the motor at the ...

in this paper an adaptive pid controller for wind energy conversion systems (wecs) has been developed. theadaptation technique applied to this controller is based on reinforcement learning (rl) theory. nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

The critical points of the length function on the free loop space Λ(M) of a compact Riemannian manifold M are the closed geodesics on M. The length function gives a filtration of the homology of Λ(M) and we show that the Chas-Sullivan product Hi(Λ)×Hj(Λ) ∗ Hi+j−n(Λ) is compatible with this filtration. We obtain a very simple expression for the associated graded homology ring GrH∗(Λ(M)) when all...

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A large array of neuroscientific techniques, including in vivo electrophysiology, two-photon imaging, optogenetics, lesions, and microdialysis, require access to the brain through the skull. Ideally, the necessary craniotomies could be performed in a repeatable and automated fashion, without damaging the underlying brain tissue. Here we report that when drilling through the skull a stereotypica...

Two methods for controller reduction based on the closed-loop system performance-preserving criterion are proposed. They are the closed-loop block balanced and the closed-loop structurally balanced truncating methods. Reduced-order controllers are obtained directly by solving the closed-loop system reduction problem with performance-preserving weights. c © 2002 Elsevier Science B.V. All rights ...

In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...

A new closed-loop drive scheme which decouples the phase and the gain of the closed-loop driving system was designed in a Silicon Micro-Gyroscope (SMG). We deduce the system model of closed-loop driving and use stochastic averaging to obtain an approximate "slow" system that clarifies the effect of thermal noise. The effects of mechanical-thermal noise on the driving performance of the SMG, inc...

This paper continues the discussion of the detailed experimental study conducted on adaptive optical control methodologies inside a laser resonator.(1) In this paper we discuss the experimental results for the correction of tilt within a laser resonator utilizing a multidither zonal COAT system. The tilt aberration was introduced in three different ways: (1) static tilt was introduced while the...

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...