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Adaptive distributed formation control for multiple nonholonomic wheeled mobile robots

Zhaoxia Peng, Shichun Yang, Guoguang Wen, Ahmed Rahmani, Yongguang Yu
2016 Neurocomputing  
Their encouragement and understanding during the course of my research work have greatly help me in the pursuit of my advanced academic degree.  ...  At last, but not the least, I convey special acknowledgement to my husband, Guoguang WEN, my parents Lianglong PENG and Houming ZHOU as well as the rest of my family for their love and support.  ...  Acknowledgements This research work has been accomplished in École Centrale de Lille, in the "Labo-  ... 
doi:10.1016/j.neucom.2015.09.022 fatcat:3jqme2e7hbebzfon4vvrvtbcry

Optimal management of beaver population using a reduced-order distributed parameter model and single network adaptive critics

R. Padhi, S.N. Balakrishnan
2006 IEEE Transactions on Control Systems Technology  
distribution of the animal density in a region in the long run.  ...  Using a distributed parameter model for beaver population that accounts for their spatial and temporal behavior, an optimal control (trapping) strategy is presented in this paper that leads to a desired  ...  The authors would also like to thank the anonymous reviewers for their constructive criticisms and useful suggestions, which led to a substantial improvement of this paper.  ... 
doi:10.1109/tcst.2006.876633 fatcat:4pql5l5m4fab7o7k5qzi4ymvfe

Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data [article]

Seungyong Hwang, Thomas C.M. Lee, Debashis Paul, Jie Peng
2020 arXiv   pre-print
We propose a fast method for estimating the fiber orientation distribution(FOD) based on diffusion MRI data.  ...  To further improve the estimation accuracy by enhancing the localized peaks of the FOD, as a second step a super-resolution sharpening process is then applied.  ...  Data were provided by the Human  ... 
arXiv:2004.04258v1 fatcat:ofheycbvu5ccdmwues4sn36vcu

Re-examining selective adaptation: Fatiguing feature detectors, or distributional learning?

Dave F. Kleinschmidt, T. Florian Jaeger
2015 Psychonomic Bulletin & Review  
Drawing on a common thread in recent work on both non-linguistic sensory adaptation and plasticity in language comprehension, we furthermore propose that selective adaptation can be seen as a consequence  ...  the phenomenon of selective adaptation.  ...  We thank Sarah Bibyk, Esteban Buz, Kodi Weatherholtz, other members of the HLP Lab, Arthur Samuel, Robert Remez, Kenneth Paap and one anonymous reviewer for comments on previous versions of this work.  ... 
doi:10.3758/s13423-015-0943-z pmid:26438255 pmcid:PMC4821823 fatcat:pbo6b5ab2veqlhbp5asage3yuu

Self-organizing brain dynamics by which the goals are constructed that control patterns of muscle actions

W.J. Freeman
2001 Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148)  
It considers how the limbic system is the organ of intentional behavior Abstract Muscle control requires brain mechanisms that construct sequences of actions, predict each next step, and verifv through  ...  The key component to be modeled in brains is the dynamic subsystem that constructs goals and the adaptive actions by which the goals are achieved.  ...  Acknowledgments This work was supported by grants from the National Institute of Mental Health, and from the Office of Naval Research.  ... 
doi:10.1109/acc.2001.945549 fatcat:ec3zsd54ujgszgdug52tzvzwri

Cognitive Control

Simon Haykin, Mehdi Fatemi, Peyman Setoodeh, Yanbo Xue
2012 Proceedings of the IEEE  
It addresses the many facets involved in the control of directed information flow in a dynamic system, culminating in the notion of information gap, defined as the difference between relevant information  ...  The stage is now set for a computational experiment, involving cognitive radar wherein the cognitive controller is enabled to control the receiver via the environment.  ...  Acknowledgment The detailed feedback notes on different aspects of the paper by four reviewers have not only reshaped the paper into its present form but also made the paper the best it could be.  ... 
doi:10.1109/jproc.2012.2215773 fatcat:tkqqa46nuzhyzjsths7avytybm

A biologically inspired meta-control navigation system for the Psikharpax rat robot

K Caluwaerts, M Staffa, S N'Guyen, C Grand, L Dollé, A Favre-Félix, B Girard, M Khamassi
2012 Bioinspiration & Biomimetics  
This produces adaptivity closer to rat behavioral performances and constitutes a computational proposition of the role of the rat prefrontal cortex in strategy shifting.  ...  But the capacity of the model to work on a real robot platform had not been tested.  ...  With the context switching meta-controller, the robot could quickly adapt its behavioral policy to a change in goal location, and could fastly restore its initial policy when the goal was moved back to  ... 
doi:10.1088/1748-3182/7/2/025009 pmid:22617382 fatcat:jhjvo4qt25hojpfykeh6lg55v4

Frontal theta as a mechanism for cognitive control

James F. Cavanagh, Michael J. Frank
2014 Trends in Cognitive Sciences  
Although there is an array of complex cognitive operations reflected by theta, we focus here on a narrower subset of cognitive control processes characterized by a goal-directed bias over habitual responses  ...  In particular, we focus on cortical theta-band oscillations as a candidate mechanism by which neurons could compute and communicate top-down control across broad networks.  ...  Acknowledgments The authors thank Alex Shackman for his helpful discussions on these topics. This report was supported by NIH RO1 MH080066-01 and NSF 1125788.  ... 
doi:10.1016/j.tics.2014.04.012 pmid:24835663 pmcid:PMC4112145 fatcat:swx7vmd76zg6dmzljdoia3edtm

Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control

Sakyasingha Dasgupta, Florentin Wörgötter, Poramate Manoonpong
2014 Frontiers in Neural Circuits  
Thus, in this paper we provide a computational model for adaptive combination of the basal ganglia and cerebellum learning systems by way of neuromodulated plasticity for goal-directed decision making  ...  Citation: Dasgupta S, Wörgötter F and Manoonpong P (2014) Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior  ...  As proposed in Triesch (2005) and Dasgupta et al. (2013a) we implement a generic intrinsic plasticity mechanism based on the Weibull distribution for unsupervised adaptation of the reservoir neuron  ... 
doi:10.3389/fncir.2014.00126 pmid:25389391 pmcid:PMC4211401 fatcat:ojfj2gmi4zaininqu4inymlote

Working Memory in the Service of Executive Control Functions

Farshad A. Mansouri, Marcello G. P. Rosa, Nafiseh Atapour
2015 Frontiers in Systems Neuroscience  
These findings suggest that the prefrontal cortex plays crucial roles in the organization of goal-directed behavior by supporting many different mnemonic processes, which maintain a wide range of information  ...  The concept of working memory describes a process of short-term storage of information to support ongoing or upcoming actions, and is considered a crucial component of the executive control of goal-directed  ...  ACKNOWLEDGMENTS We would like to thank Rowan Tweedale for making suggestions on the manuscript.  ... 
doi:10.3389/fnsys.2015.00166 pmid:26696841 pmcid:PMC4677100 fatcat:t5c3zlzhcncfvfsg2ft5br3l64

Neurally Controlled Steering for Collision-Free Behavior of a Snake Robot

Xiaodong Wu, Shugen Ma
2013 IEEE Transactions on Control Systems Technology  
However, relatively limited work appears to have been done on the design of a controller for self-adaptive locomotion.  ...  Most research has focused on the design of a controller for a given motion pattern.  ...  The goal of this brief was to demonstrate a collisionfree behavior of the snake robot through the use of neurally controlled steering.  ... 
doi:10.1109/tcst.2012.2237519 fatcat:n6p2yrd7bvfxzdaqokv63x7cbu

Intentional Control for Planetary Rover SRR

Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Eddie Tunstel, Roman Ilin, Walter J. Freeman
2008 Advanced Robotics  
The proposed system builds such associations in a self-organized way, and it is called Self-Organized Development of Autonomous Adaptive Systems (SODAS).  ...  The experiments illustrate obstacle avoidance combined with goal-oriented navigation by the SRR2K robot using SODAS control principles.  ...  The proposed dynamical hypothesis on intentionality and intelligence goes beyond the basic notion of goal-oriented behavior, or sophisticated manipulations with symbolic representations to achieve given  ... 
doi:10.1163/156855308x344846 fatcat:25gphrxsf5eltk65vtvwxkgibq

Dopamine in Motivational Control: Rewarding, Aversive, and Alerting

Ethan S. Bromberg-Martin, Masayuki Matsumoto, Okihide Hikosaka
2010 Neuron  
Based on this data, we propose that dopamine neurons come in multiple types that are connected with distinct brain networks and have distinct roles in motivational control.  ...  We hypothesize that these dopaminergic pathways for value, salience, and alerting cooperate to support adaptive behavior.  ...  ACKNOWLEDGMENTS This work was supported by the Intramural Research Program at the National Eye Institute. We also thank Amy Arnsten for valuable discussions.  ... 
doi:10.1016/j.neuron.2010.11.022 pmid:21144997 pmcid:PMC3032992 fatcat:2mehpkwvdbh4rbmcrxxy77lhby

Visuomotor Control in Flies and Behavior — based Agents [chapter]

Susanne A. Huber, Heinrich H. Bülthoff
2003 Studies in Fuzziness and Soft Computing  
Biological principles are used and combined with the goals of modeling (i) behavior and (ii) morphogenesis of living systems and using (iii) models of the design techniques of nature to build highly adaptive  ...  Modeling the visual orientation behavior of flies: A controller for optomotor response and object fixation Reichardt and Poggio (1976) used differential equations to describe two components of the orientation  ... 
doi:10.1007/978-3-7908-1775-1_3 fatcat:lpfubluq5ngc7m3nsbkllmunoq

Control of autonomous robot behavior using data filtering through adaptive resonance theory

Adam Barton, Eva Volna, Martin Kotyrba
2017 Vietnam Journal of Computer Science  
The aim of the article is to use neural networks to control autonomous robot behavior.  ...  The proposed approach to data filtering through ART1 is experimentally verified to control the behavior of an autonomous robot in an unknown environment with varying degrees of difficulty regarding the  ...  The control architecture provides organization of the control system and allows defining the behavior of the robot. It uses algorithms to solve problems.  ... 
doi:10.1007/s40595-017-0103-7 fatcat:c52ndeuihvgbrowut46fosu744
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