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Methods of Ensuring Invariance with Respect to External Disturbances: Overview and New Advances
2021
Mathematics
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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
2019
IEEE Access
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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
2014
Medical and Biological Engineering and Computing
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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
2019
Algorithms
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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
2011
2011 IEEE 34th Software Engineering Workshop
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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]
2011
Robust Control, Theory and Applications
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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
2010
49th IEEE Conference on Decision and Control (CDC)
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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
2021
Applied Soft Computing
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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]
1993
North-Holland Mathematical Library
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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
2021
IEEE Access
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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
2020
iScience
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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]
2022
arXiv
pre-print
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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
1996
Robotics and Autonomous Systems
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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]
2021
arXiv
pre-print
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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
2010
IEEE Journal on Selected Topics in Signal Processing
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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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