Comment on "Steady-state tracking with LFM waveforms"

2000 ◽  
Vol 36 (4) ◽  
pp. 1406-1407
Author(s):  
R.J. Fitzgerald
Keyword(s):  
Steady State ◽  
State Tracking

Steady-State Tracking Analysis of Adaptive Filter With Maximum Correntropy Criterion

2016 ◽  
Vol 36 (4) ◽  
pp. 1725-1734 ◽  
Author(s):  
Azam Khalili ◽  
Amir Rastegarnia ◽  
Md Kafiul Islam ◽  
Tohid Yousefi Rezaii
Keyword(s):  
Steady State ◽  
Adaptive Filter ◽  
State Tracking ◽  
Maximum Correntropy Criterion

Exact Deadbeat Controller Design From N Impulse Response Samples

1986 ◽  
Vol 108 (1) ◽  
pp. 65-68 ◽  
Author(s):  
R. E. Rink
Keyword(s):  
Steady State ◽  
Impulse Response ◽  
Controller Design ◽  
Open Loop ◽  
Step Response ◽  
Simple Method ◽  
Arbitrary Type ◽  
Pi Controllers ◽  
State Tracking ◽  
Time Invariant

A simple method is given for the design of exact deadbeat regulators and PI controllers when only N impulse or step response samples from the process are available. It is required that the process be linear, controllable, observable, time invariant, and that N≥2n, where n is the degree of the process. It is not required that the process be open-loop stable, in distinction with previously-given simple methods. This makes it easy to include any number of integrations in the controller to achieve steady-state tracking properties of arbitrary type.

scholarly journals Different mechanisms for modulation of the initiation and steady-state of smooth pursuit eye movements

2020 ◽  
Vol 123 (3) ◽  
pp. 1265-1276 ◽  
Author(s):  
Stuart Behling ◽  
Stephen G. Lisberger
Keyword(s):  
Steady State ◽  
Eye Movements ◽  
Smooth Pursuit ◽  
Visual Motion ◽  
Smooth Pursuit Eye Movements ◽  
Target Speed ◽  
Pursuit Eye Movements ◽  
Visual Motor ◽  
State Tracking ◽  
Eye Velocity

Smooth pursuit eye movements are used by primates to track moving objects. They are initiated by sensory estimates of target speed represented in the middle temporal (MT) area of extrastriate visual cortex and then supported by motor feedback to maintain steady-state eye speed at target speed. Here, we show that reducing the coherence in a patch of dots for a tracking target degrades the eye speed both at the initiation of pursuit and during steady-state tracking, when eye speed reaches an asymptote well below target speed. The deficits are quantitatively different between the motor-supported steady-state of pursuit and the sensory-driven initiation of pursuit, suggesting separate mechanisms. The deficit in visually guided pursuit initiation could not explain the deficit in steady-state tracking. Pulses of target speed during steady-state tracking revealed lower sensitivities to image motion across the retina for lower values of dot coherence. However, sensitivity was not zero, implying that visual motion should still be driving eye velocity toward target velocity. When we changed dot coherence from 100% to lower values during accurate steady-state pursuit, we observed larger eye decelerations for lower coherences, as expected if motor feedback was reduced in gain. A simple pursuit model accounts for our data based on separate modulation of the strength of visual-motor transmission and motor feedback. We suggest that reduced dot coherence allows us to observe evidence for separate modulations of the gain of visual-motor transmission during pursuit initiation and of the motor corollary discharges that comprise eye velocity memory and support steady-state tracking. NEW & NOTEWORTHY We exploit low-coherence patches of dots to control the initiation and steady state of smooth pursuit eye movements and show that these two phases of movement are modulated separately by the reliability of visual motion signals. We conclude that the neural circuit for pursuit includes separate modulation of the strength of visual-motor transmission for movement initiation and of eye velocity positive feedback to support steady-state tracking.

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