AIMC Topic: Feedback
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Adaptive optimal control of highly dissipative nonlinear spatially distributed processes with neuro-dynamic programming.
IEEE transactions on neural networks and learning systems
Apr 1, 2015
Highly dissipative nonlinear partial differential equations (PDEs) are widely employed to describe the system dynamics of industrial spatially distributed processes (SDPs). In this paper, we consider the optimal control problem of the general highly ...
Toward hybrid force/position control for the Cerberus epicardial robot.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
Gene therapies have emerged as a promising treatment for congestive heart failure, yet they lack a method for minimally invasive, uniform delivery. To address this need we developed Cerberus, a minimally invasive parallel wire robot for cardiac inter...
Novel method to form adaptive internal impedance profiles in walkers.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
This paper proposes a novel approach to improve walking in prosthetics, orthotics and robotics without closed loop controllers. The approach requires impedance profiles to be formed in a walker and uses state feedback to update the profiles in real-t...
Surgical energy device using steam jet for robotic assisted surgery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
In robotic assisted surgery, the carbonization and the adherence of coagulated tissues caused by surgical energy devices are problems. We propose a surgical energy device using a steam jet to solve the problems. The device applies a steam jet and per...
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
The lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a force estimation approach th...
Control of HIV/AIDS infection system with drug dosages design via robust H(∞) fuzzy controller.
Bio-medical materials and engineering
Jan 1, 2015
The designing of H∞ fuzzy controller for HIV/AIDS infected dynamic system has been considered in this paper. With TS fuzzy model and LMIs approach, the proposed controller is obtained for such a system. A set of sufficient conditions of the H∞ contro...
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.
Studies in health technology and informatics
Jan 1, 2015
Advanced techniques in machine learning combined with scalable "cloud" computing infrastructure are driving the creation of new and innovative health diagnostic applications. We describe a service and application for performing image training and rec...
Dynamic feature selection applied to the recognition of grasping movements in the control of bioprosthetic hand.
Studies in health technology and informatics
Jan 1, 2015
The paper presents novel method of dynamic feature selection (DFS) and its application in the problem of recognition of patient intent in the bioprosthesis control system. In the proposed approach features are selected dynamically, i.e. separately fo...
Exoskeleton control for lower-extremity assistance based on adaptive frequency oscillators: adaptation of muscle activation and movement frequency.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Jan 1, 2015
In this article, we analyze a novel strategy for assisting the lower extremities based on adaptive frequency oscillators. Our aim is to use the control algorithm presented here as a building block for the control of powered lower-limb exoskeletons. T...
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