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Methods of Ensuring Invariance with Respect to External Disturbances: Overview and New Advances

Aleksey Antipov, Svetlana Krasnova, Victor Utkin
2021 Mathematics  
Nonlinear local feedbacks ensure stabilization of the output variable with the given accuracy and settling time as in a system with traditionally used linear local feedbacks with high gains.  ...  Methods of the synthesis are presented on the example of a third-order nonlinear system with single input and single output (SISO-systems), dynamic feedback synthesis is presented at a descriptive level  ...  To strengthen the methodological component of the presented material, we will consider all the stated approaches specifically on the example of a single-channel nonlinear minimum-phase system of the third  ... 
doi:10.3390/math9233140 fatcat:ibjiy45murggnc337m7r4qkhb4

An Iterative Kernel-PCA based LPV Control Approach for a 4-DOF Control Moment Gyroscope

Faisal Saleem, Ahsan Ali, Muhammad Wasim, Inamul Hassan Shaikh
2019 IEEE Access  
the transient performance and tracking accuracy.  ...  The LPV controller designed for a fixed rotor speed is applied in feedback to a full nonlinear model of the CMG at different rotor speeds.  ...  the MIMO system into 2 single-input-single-output (SISO) systems, in series with a single multi-input-multi-output (MIMO) system.  ... 
doi:10.1109/access.2019.2952720 fatcat:mgtlzbord5e6dc2znzazvbrixm

Synthesis of optimal electrical stimulation patterns for functional motion restoration: applied to spinal cord-injured patients

Mourad Benoussaad, Philippe Poignet, Mitsuhiro Hayashibe, Christine Azevedo-Coste, Charles Fattal, David Guiraud
2014 Medical and Biological Engineering and Computing  
In this case, the synthesis presented a solution of numerical inversion of a highly nonlinear system.  ...  This would improve the accuracy of the tracking trajectory and increase the stability of the joint against external perturbations.  ... 
doi:10.1007/s11517-014-1227-x pmid:25430421 fatcat:b525yhh3bzadhbmvrl6nlhzezm

Using Interval Analysis to Compute the Invariant Set of a Nonlinear Closed-Loop Control System

Swantje Romig, Luc Jaulin, Andreas Rauh
2019 Algorithms  
By exploiting the fundamental enclosure properties of interval analysis, this paper aims at computing invariant sets of nonlinear closed-loop control systems.  ...  The applied methods for the control synthesis make use of a suitably chosen Gröbner basis, which is employed to solve Bézout's identity.  ...  This paper addresses the following two issues: First, a method for finding a nonlinear state-feedback controller is derived for the exact tracking of predefined paths in the phase-space.  ... 
doi:10.3390/a12120262 fatcat:wib6jd6l5fgjplqchkiwiply4i

A Change of Perspective Yields Formal Analysis

R. Grosu, F. Fenton, S. Smolka, E. Bartocci
2011 2011 IEEE 34th Software Engineering Workshop  
In this paper we argue that a judicious use of models in science and engineering can considerably simplify the design and analysis of complex dynamic systems.  ...  We then show that a change in perspective on the purpose of models in the analysis of cardiac tissue, allowed us to derive for the first time, in an automatic fashion, the parameter-ranges distinguishing  ...  The block diagram of a feedback control system is shown in Figure 2 . The semi-automatic synthesis of a controller requires the existence of a model of the plant.  ... 
doi:10.1109/sew.2011.16 dblp:conf/sew/GrosuFSB11 fatcat:emu4bapjsvbebconckhltxtefu

Robust Control Approaches for Synchronization of Biochemical Oscillators [chapter]

Hector Puebla, Rogelio Hernandez, Eliseo Hernandez, Margarita M.
2011 Robust Control, Theory and Applications  
The class of biochemical oscillators As the basic single biochemical oscillator we consider single-input nonlinear systems in the form, dy dt = f 1 (y, z)+g(y, z)u (4) dz dt = f 2 (y, z) where f 1 (y,  ...  If exact cancelation of nonlinear terms is achieved then the closed-loop system is given by, dy i dt = v i (24) dz i dt = f 2,i (y i , z i ) It is relatively simple to device a feedback control law for  ...  The main objective of this monograph is to present a broad range of well worked out, recent theoretical and application studies in the field of robust control system analysis and design.  ... 
doi:10.5772/15965 fatcat:dnzfovldaffuropgepvfgtmsxm

Adaptive control of systems in cascade with saturation

Suresh K. Kannan, Eric N. Johnson
2010 49th IEEE Conference on Decision and Control (CDC)  
It is assumed that the full state vector x is available for feedback. First, the conventional model reference adaptive control framework is presented for a single input nonlinear system.  ...  A single hidden layer network is nonlinearly parameterized and has the advantage of being able to approximate arbitrary unstructured parametric uncertainty to arbitrary accuracy [17] .  ... 
doi:10.1109/cdc.2010.5717276 dblp:conf/cdc/KannanJ10 fatcat:w3bbmqdnsnbljdyzfauflxt72q

Intelligent adaptive optimal control using incremental model-based global dual heuristic programming subject to partial observability

Bo Sun, Erik-Jan van Kampen
2021 Applied Soft Computing  
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper  ...  Nevertheless, relying on the assumption that the dynamic system is linear time-invariant (LTI), LADP is not suitable for dealing with nonlinear or timevarying systems [6] .  ...  For instance, for a time-invariant affine system, given the explicit information of control effectiveness, a convergent control policy can be generated based some assumptions [21, 33] .  ... 
doi:10.1016/j.asoc.2021.107153 fatcat:vqqun5cnlvezrjxzq3y5swjywi

Self-Organizing Neural Networks for Stable Control of Autonomous Behavior in A Changing World [chapter]

S. Grossberg
1993 North-Holland Mathematical Library  
Due to the combination of match tracking and fast learning, a single ARTMAP system can learn a different prediction for a rare event than for a cloud of similar frequent events in which it is embedded.  ...  They show that evolutionary invariants of associative learning obtain no matter how system parameters are changed within this class of systems.  ... 
doi:10.1016/s0924-6509(08)70037-0 fatcat:thgmexubdjbmrirxcg367ifchy

Recent Advances in Deep Learning Techniques for Face Recognition

Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-Rakhami, Abdu Gumae, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam
2021 IEEE Access  
Deep FR systems benefit from the hierarchical architecture of the DL methods to learn discriminative face representation.  ...  In this paper, we present a comprehensive analysis of various FR systems that leverage the different types of DL techniques, and for the study, we summarize 171 recent contributions from this area.  ...  DIFFERENT ACTIVATION FUNCTIONS The activation function defines output depending on a given single input or a set of inputs in a node.  ... 
doi:10.1109/access.2021.3096136 fatcat:g5sftnugunbczppu56dbymlhra

The Merging of Biological and Electronic Circuits

Jonathan J.Y. Teo, Rahul Sarpeshkar
2020 iScience  
Biological circuits and systems within even a single cell need to be represented by large-scale feedback networks of nonlinear, stochastic, stiff, asynchronous, non-modular coupled differential equations  ...  ) The use of existing electronic circuit software for hierarchical modeling, design, and analysis with such schematics; (3) The use of cytomorphic electronic hardware for rapid stochastic simulation of  ...  , lead to an efficient and exact translation of nonlinear biological circuits and systems to equivalent nonlinear electronic circuits and systems that simulate them.  ... 
doi:10.1016/j.isci.2020.101688 pmid:33163942 pmcid:PMC7607449 fatcat:72qusxp5rbd33fonyg52ul7ige

Active noise control techniques for nonlinear systems [article]

Lu Lu, Kai-Li Yin, Rodrigo C. de Lamare, Zongsheng Zheng, Yi Yu, Xiaomin Yang, Badong Chen
2022 arXiv   pre-print
However, ANC systems might have to deal with some nonlinear components and the performance of linear ANC techniques may degrade in this scenario.  ...  To overcome this limitation, nonlinear ANC (NLANC) algorithms were developed. In Part II, we review the development of NLANC algorithms during the last decade.  ...  In [282, 283] , the single and multi-channel ANC systems have been employed for ventilation duct.  ... 
arXiv:2110.09672v2 fatcat:yjivwjydw5bpxpz7jvkc6jsjo4

Recent advances in mechatronics

Okyay Kaynak
1996 Robotics and Autonomous Systems  
The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or  ...  Typesetting: Camera-ready by Contributors SPIN 10717447 543210 (Robotics Society of Japan) and SICE (Society of Instr. and Control Engineers of Japan).  ...  Acknowledgements The authors wish to acknowledge the support of the Natural Science and Engineering Research Council of Canada, the Institute for Robotic and Intelligent Systems (IRIS) and Precam Associates  ... 
doi:10.1016/s0921-8890(96)00039-5 fatcat:l5fd4hwa2rbu3l6f2jucyj2fxy

Recent Advances in Deep Learning Techniques for Face Recognition [article]

Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-rakhami, Abdu Gumae, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam
2021 arXiv   pre-print
Deep FR systems benefit from the hierarchical architecture of the DL methods to learn discriminative face representation.  ...  In this paper, we present a comprehensive analysis of various FR systems that leverage the different types of DL techniques, and for the study, we summarize 168 recent contributions from this area.  ...  DIFFERENT ACTIVATION FUNCTIONS The activation function defines output depending on a given single input or a set of inputs in a node.  ... 
arXiv:2103.10492v1 fatcat:h526swzntjgmlcjmwnuidqg44u

Retrieving Tract Variables From Acoustics: A Comparison of Different Machine Learning Strategies

Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson, Elliot Saltzman, Louis Goldstein
2010 IEEE Journal on Selected Topics in Signal Processing  
Many different studies have claimed that articulatory information can be used to improve the performance of automatic speech recognition systems.  ...  Further, using a database generated by the Haskins Laboratories speech production model, we test the claim that information regarding constrictions produced by the distinct organs of the vocal tract (vocal  ...  Current projects include single-channel speech enhancement and speaker separation, speech recognition, speaker recognition, language identification, and forensics. Prof.  ... 
doi:10.1109/jstsp.2010.2076013 pmid:23326297 pmcid:PMC3544523 fatcat:ahhhv3juojc6hpke2zmxhnxg5m
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