Results for 'controller'

977 found
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  1. Mc34262, mc33262.Power Factor Controllers - 2005 - In Alan F. Blackwell & David MacKay (eds.), Power. New York: Cambridge University Press. pp. 10.
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  2.  36
    Impulsive controller for wireless networked control system: Switched system approach.Yuan-Qing Wu, Hongye Su & Kalidass Mathiyalagan - 2016 - Complexity 21 (5):291-299.
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  3. The Divine Controller Argument for Incompatibilism.Katherin A. Rogers - 2012 - Faith and Philosophy 29 (3):275-294.
    Incompatibilists hold that, in order for you to be responsible, your choices must come from yourself; thus, determinism is incompatible with responsibility. One way of defending this claim is the Controller Argument: You are not responsible if your choices are caused by a controller, and natural determinism is relevantly similar to such control, therefore... Q.E.D. Compatibilists dispute both of these premises, insisting upon a relevant dissimilarity, or allowing, in a tollens move, that since we can be determined and (...)
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  4.  38
    PI controller design using artificial bee colony algorithm for MPPT of photovoltaic system supplied DC motor-pump load.A. S. Oshaba, E. S. Ali & S. M. Abd Elazim - 2016 - Complexity 21 (6):99-111.
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  5.  24
    A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning.Jian Sun & Jie Li - 2018 - Complexity 2018:1-15.
    The large scale, time varying, and diversification of physically coupled networked infrastructures such as power grid and transportation system lead to the complexity of their controller design, implementation, and expansion. For tackling these challenges, we suggest an online distributed reinforcement learning control algorithm with the one-layer neural network for each subsystem or called agents to adapt the variation of the networked infrastructures. Each controller includes a critic network and action network for approximating strategy utility function and desired control (...)
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    Conventional controller design based on Takagi–Sugeno fuzzy models.Jana Nowaková, Miroslav Pokorný & Martin Pieš - 2015 - Journal of Applied Logic 13 (2):148-155.
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  7.  39
    Adaptive Backstepping Fuzzy Neural Network Fractional-Order Control of Microgyroscope Using a Nonsingular Terminal Sliding Mode Controller.Juntao Fei & Xiao Liang - 2018 - Complexity 2018:1-12.
    An adaptive fractional-order nonsingular terminal sliding mode controller for a microgyroscope is presented with uncertainties and external disturbances using a fuzzy neural network compensator based on a backstepping technique. First, the dynamic of the microgyroscope is transformed into an analogical cascade system to guarantee the application of a backstepping design. Then, a fractional-order nonsingular terminal sliding mode surface is designed which provides an additional degree of freedom, higher precision, and finite convergence without a singularity problem. The proposed control scheme (...)
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  8. HIV-Infected Pregnant Women in Developing Countries. Ethical Imperialism or Unethical Exploitation.Randomised Placebo-Controlled Trials - 2001 - Bioethics 15 (4):289-311.
     
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  9.  19
    Applied Mechatronics: Designing a Sliding Mode Controller for Active Suspension System.Aydin Azizi & Hamed Mobki - 2021 - Complexity 2021:1-23.
    The suspension system is referred to as the set of springs, shock absorbers, and linkages that connect the car to the wheel system. The main purpose of the suspension system is to provide comfort for the passengers, which is created by reducing the effects of road bumpiness. It is worth noting that reducing the effects of such vibrations also diminishes the noise and undesirable sound as well as the effects of fatigue on mechanical parts of the vehicle. Due to the (...)
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  10.  17
    Evolution of a controller of state!Lloyd D. Partridge - 1988 - Behavioral and Brain Sciences 11 (1):142-143.
  11.  98
    A Compound Controller of an Aerial Manipulator Based on Maxout Fuzzy Neural Network.Xinchen Qi, Jianwei Wu & Jiansheng Pan - 2020 - Complexity 2020:1-10.
    The aerial manipulator is a complex system with high coupling and instability. The motion of the robotic arm will affect the self-stabilizing accuracy of the unmanned aerial vehicles. To enhance the stability of the aerial manipulator, a composite controller combining conventional proportion integration differentiation control, fuzzy theory, and neural network algorithm is proposed. By blurring the attitude error signal of UAV as the input of the neural network, the anti-interference ability and stability of UAV is improved. At the same (...)
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  12.  41
    Fast terminal sliding mode controller design for nonlinear second-order systems with time-varying uncertainties.Saleh Mobayen - 2016 - Complexity 21 (2):239-244.
  13.  52
    Design of LMI-based global sliding mode controller for uncertain nonlinear systems with application to Genesio's chaotic system.Saleh Mobayen - 2016 - Complexity 21 (1):94-98.
    The fault ride-through capability and fault current issues are the main challenges in doubly fed induction generator- based wind turbines. Application of the bridge-type fault current limiter was recognized as a promising solution to cope with these challenges. This paper proposes a nonlinear sliding mode controller for the BFCL to enhance the FRT performance of the DFIG-based WT. This controller has robust performance in unpredicted voltage sag level and nonlinear features. Theoretical discussions, power circuit, and nonlinear control consideration (...)
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  14. Simulation and Controller Design of Thermal Spraying Processes.P. Nylén & U. Snis - forthcoming - Proceedings of Swedish Ai Society, Linköping.
     
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  15.  26
    Dissipativity-Based Controller Design for Time-Delayed T-S Fuzzy Switched Distributed Parameter Systems.Xiaona Song, Mi Wang, Shuai Song & Jingtao Man - 2018 - Complexity 2018:1-11.
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  16.  22
    Situation calculus for controller synthesis in manufacturing systems with first-order state representation.Giuseppe De Giacomo, Paolo Felli, Brian Logan, Fabio Patrizi & Sebastian Sardiña - 2022 - Artificial Intelligence 302 (C):103598.
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  17.  25
    Design and Implementation of Novel LMI-Based Iterative Learning Robust Nonlinear Controller.Saleem Riaz, Hui Lin, Farkhanda Afzal & Ayesha Maqbool - 2021 - Complexity 2021:1-13.
    An iterative learning robust fault-tolerant control algorithm is proposed for a class of uncertain discrete systems with repeated action with nonlinear and actuator faults. First, by defining an actuator fault coefficient matrix, we convert the iterative learning control system into an equivalent unknown nonlinear repetitive process model. Then, based on the mixed Lyapunov function approach, we describe the stability of the nonlinear repetitive mechanism on time and trial indices and have appropriate conditions for the repeated control system’s stability in terms (...)
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  18.  7
    State feedback based on grey wolf optimizer controller for two-wheeled self-balancing robot.Wesam M. Jasim - 2022 - Journal of Intelligent Systems 31 (1):511-519.
    The two-wheeled self-balancing robot is based on the axletree and inverted pendulum. Its balancing problem requires a control action. To speed up the response of the robot and minimize the steady state error, in this article, a grey wolf optimizer method is proposed for TWSBR control based on state space feedback control technique. The controller stabilizes the balancing robot and minimizes the overshoot value of the system. The dynamic model of the system is derived based on Euler formula and (...)
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  19.  12
    A Backstepping Controller with the RBF Neural Network for Folding-Boom Aerial Work Platform.Haidong Hu, Yandong Song, Pu Fan, Chen Diao & Ning Cai - 2022 - Complexity 2022:1-9.
    Aerial work platform is a kind of engineering vehicle which is used for hoisting personnel to the appointed place for maintenance or installation. Based on the dynamics model considering the flexible deformation existing in the arm system of folding-boom aerial platform vehicle, this study presents a NN-based backstepping controller used for trajectory tracking control of work platform. The proposed controller can reduce tracking error of work platform and suppress the vibration simultaneously by using the RBF neural network system (...)
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  20.  29
    “Tt47 [1l3.Voltage Controlled Frequency & Dependent Network - unknown - Hermes 330:86.
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  21.  28
    A new hybrid algorithm based on optimal fuzzy controller in multimachine power system.Noradin Ghadimi - 2016 - Complexity 21 (1):78-93.
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  22.  41
    Hand rehabilitation assessment system using leap motion controller.Miri Weiss Cohen & Daniele Regazzoni - 2020 - AI and Society 35 (3):581-594.
    This paper presents an approach for monitoring exercises of hand rehabilitation for post stroke patients. The developed solution uses a leap motion controller as hand-tracking device and embeds a supervised machine learning. The K-nearest neighbor methodology is adopted for automatically characterizing the physiotherapist or helper hand movement resulting a unique movement pattern that constitutes the basis of the rehabilitation process. In the second stage, an evaluation of the patients rehabilitation exercises results is compared to the movement pattern of the (...)
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  23.  48
    Synchronization of circular restricted three body problem with lorenz hyper chaotic system using a robust adaptive sliding mode controller.Ayub Khan & Mohammad Shahzad - 2013 - Complexity 18 (6):58-64.
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  24.  25
    Detection of forest fires outbreaks by dynamic fuzzy logic controller.Josué Toledo-Castro, Nayra Rodríguez-Pérez, Pino Caballero-Gil, Iván Santos-González, Candelaria Hernández-Goya & Ricardo Aguasca-Colomo - forthcoming - Logic Journal of the IGPL.
    The use of wireless sensor networks and the Internet of things to detect forest fire outbreaks may help to reduce the response time and avoid natural disasters. This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. In addition, the activation of forest fire alerts if environmental status may involve evidence of a recent fire outbreak. A fuzzy-based controller is implemented to (...)
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  25. Lawrence Zacharias.KaufmanEthics Through Corporate StrategyThe Politics of EthicsManagers vsOwners The Struggle for Corporate Control In American Democracy Allen - 1995 - The Ruffin Series in Business Ethics 1995.
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  26.  11
    Corrigendum to “Controller Design Based on Echo State Network with Delay Output for Nonlinear System”.Xianshuang Yao, Siyuan Fan, Bo Zhao & Shengxian Cao - 2021 - Complexity 2021:1-1.
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  27. Applications of Intelligent Systems-Intelligent Signal Processing, Control and Robotics-Designing a Self-adaptive Union-Based Rule-Antecedent Fuzzy Controller Based on Two Step Optimization.Chang-Wook Han & Jung-Il Park - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes In Computer Science. Springer Verlag. pp. 4251--850.
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  28.  17
    A Hidden Chaotic Attractor with an Independent Amplitude-Frequency Controller.Yousuf Islam, Chunbiao Li, Yicheng Jiang, Xu Ma & Akif Akgul - 2022 - Complexity 2022:1-11.
    In this paper, a three-dimensional chaotic system with a line equilibrium is studied, in which a single nonbifurcation parameter is used to control the amplitude and frequency. A variety of chaotic signals can be modified using the amplitude-frequency control switch. The realization of circuit simulation based on multisim further verifies the theoretical analysis. Finally, the method for encrypting color images is tested, and the process performance is valued. It shows that the novel chaotic oscillation has a promising application prospect in (...)
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  29.  8
    The use of dynamics in an intelligent controller for a space faring rescue robot.Marcel Schoppers - 1995 - Artificial Intelligence 73 (1-2):175-230.
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  30.  33
    Multiobjective Optimization of a Fractional-Order PID Controller for Pumped Turbine Governing System Using an Improved NSGA-III Algorithm under Multiworking Conditions.Chu Zhang, Tian Peng, Chaoshun Li, Wenlong Fu, Xin Xia & Xiaoming Xue - 2019 - Complexity 2019:1-18.
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  31.  31
    Implementation and testing of a soft computing based model predictive control on an industrial controller.M. Larrea, E. Larzabal, E. Irigoyen, J. J. Valera & M. Dendaluce - 2015 - Journal of Applied Logic 13 (2):114-125.
  32.  24
    Design, Modelling, and Implementation of a Fuzzy Controller for an Intelligent Road Signaling System.José Manuel Lozano Domínguez & Tomás de J. Mateo Sanguino - 2018 - Complexity 2018:1-14.
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  33.  22
    Design of LMI-based sliding mode controller with an exponential policy for a class of underactuated systems.Saleh Mobayen - 2016 - Complexity 21 (5):117-124.
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  34.  29
    Eigen Solution of Neural Networks and Its Application in Prediction and Analysis of Controller Parameters of Grinding Robot in Complex Environments.Shixi Tang, Jinan Gu, Keming Tang, Wei Ding & Zhengyang Shang - 2019 - Complexity 2019:1-21.
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  35.  17
    Design of Robust Supertwisting Algorithm Based Second-Order Sliding Mode Controller for Nonlinear Systems with Both Matched and Unmatched Uncertainty.Marwa Jouini, Slim Dhahri & Anis Sellami - 2017 - Complexity:1-8.
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  36.  23
    Design of a robust nonlinear controller for a synchronous generator connected to an infinite bus.Bijan Hashtarkhani, Mohammad Pourmahmood Aghababa & Mohammad Javad Khosrowjerdi - 2016 - Complexity 21 (5):203-213.
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  37.  24
    Nonfragile passivity and passification of nonlinear singular networked control systems with randomly occurring controller gain fluctuation.Aichuan Li & Bin Liu - 2016 - Complexity 21 (S1):200-210.
  38.  26
    Robust guaranteed cost control for discrete-time systems via partially delay-dependent controller with linear fractional uncertainties.Balasubramaniam Pagavathigounder, Nishanthi Dhanasekaran & Jarina Banu Liyakath Ali - 2016 - Complexity 21 (S2):113-122.
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  39.  26
    An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances.Shengquan Li, Juan Li & Yanqiu Shi - 2018 - Complexity 2018:1-13.
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  40. Track 1-Smart Objects and Embedded Systems-An Embedded System Design for Ubiquitous Speech Interactive Applications Based on a Cost Effective SPCE061A Micro Controller[REVIEW]Po-Chuan Lin, Jhing-Fa Wang, Shun-Chieh Lin & Ming-Hua Mo - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes In Computer Science. Springer Verlag. pp. 83-92.
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  41.  45
    Tracking the state of the delay hyperchaotic Lü system using the coullet chaotic system via a single controller.Yan Zhou, Xuerong Shi, Zuolei Wang, Juanjuan Huang, Keming Tang & Jianjiang Yu - 2016 - Complexity 21 (5):125-130.
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  42. Control, responsibility, and moral assessment.Angela Smith - 2008 - Philosophical Studies 138 (3):367 - 392.
    Recently, a number of philosophers have begun to question the commonly held view that choice or voluntary control is a precondition of moral responsibility. According to these philosophers, what really matters in determining a person’s responsibility for some thing is whether that thing can be seen as indicative or expressive of her judgments, values, or normative commitments. Such accounts might therefore be understood as updated versions of what Susan Wolf has called “real self views,” insofar as they attempt to ground (...)
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  43.  43
    Does Controlled Donation after Circulatory Death Violate the Dead Donor Rule?Emil J. Nielsen Busch & Marius T. Mjaaland - 2022 - American Journal of Bioethics 23 (2):4-11.
    The vital status of patients who are a part of controlled donation after circulatory death (cDCD) is widely debated in bioethical literature. Opponents to currently applied cDCD protocols argue that they violate the dead donor rule, while proponents of the protocols advocate compatibility. In this article, we argue that both parties often misinterpret the moral implications of the dead donor rule. The rule as such does not require an assessment of a donor’s vital status, we contend, but rather an assessment (...)
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  44. Alien control: From phenomenology to cognitive neurobiology.Sean Spence - 2001 - Philosophy, Psychiatry, and Psychology 8 (2-3):163-172.
    People experiencing alien control report that their thoughts, movements, actions, and emotions have been replaced by those of an "other." The latter is commonly a perceived persecutor of the patient. Here I describe the clinical phenomenology of alien control, mechanistic models that have been used to explain it, problems inherent in these models, the brain deficits and functional abnormalities associated with this symptom, and the means by which disordered agency may be examined in this perplexing condition. Our current state of (...)
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  45. Cognitive control in the self-regulation of physical activity and sedentary behavior.Jude Buckley, Jason D. Cohen, Arthur F. Kramer, Edward McAuley & Sean P. Mullen - 2014 - Frontiers in Human Neuroscience 8:104230.
    Cognitive control of physical activity and sedentary behavior is receiving increased attention in the neuroscientific and behavioral medicine literature as a means of better understanding and improving the self-regulation of physical activity. Enhancing individuals’ cognitive control capacities may provide a resilient means to increase physical activity and reduce sedentary behavior. First, this paper reviews emerging evidence of the antecedence of cognitive control abilities in successful self-regulation of physical activity, and in precipitating self-regulation failure that predisposes to sedentary behavior. We then (...)
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  46. Control, Attitudes, and Accountability.Douglas W. Portmore - 2013 - In David Shoemaker (ed.), Oxford Studies in Agency and Responsibility, Volume 1. Oxford: Oxford University Press UK.
    It seems that we can be directly accountable for our reasons-responsive attitudes—e.g., our beliefs, desires, and intentions. Yet, we rarely, if ever, have volitional control over such attitudes, volitional control being the sort of control that we exert over our intentional actions. This presents a trilemma: (Horn 1) deny that we can be directly accountable for our reasons-responsive attitudes, (Horn 2) deny that φ’s being under our control is necessary for our being directly accountable for φ-ing, or (Horn 3) deny (...)
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  47.  16
    Control your emotions: evidence for a shared mechanism of cognitive and emotional control.Eldad Keha, Hadar Naftalovich, Ariel Shahaf & Eyal Kalanthroff - 2024 - Cognition and Emotion 38 (8):1330-1342.
    The current investigation examined the bidirectional effects of cognitive control and emotional control and the overlap between these two systems in regulating emotions. Based on recent neural and cognitive findings, we hypothesised that two control systems largely overlap as control recruited for one system (either emotional or cognitive) can be used by the other system. In two experiments, participants completed novel versions of either the Stroop task (Experiment 1) or the Flanker task (Experiment 2) in which the emotional and cognitive (...)
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  48. Control, intentional action, and moral responsibility.Frank Hindriks - 2011 - Philosophical Psychology 24 (6):787 - 801.
    Skill or control is commonly regarded as a necessary condition for intentional action. This received wisdom is challenged by experiments conducted by Joshua Knobe and Thomas Nadelhoffer, which suggest that moral considerations sometimes trump considerations of skill and control. I argue that this effect (as well as the Knobe effect) can be explained in terms of the role normative reasons play in the concept of intentional action. This explanation has significant advantages over its rivals. It involves at most a conservative (...)
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  49. Controlled & automatic processing: behavior, theory, and biological mechanisms.Walter Schneider & Jason M. Chein - 2003 - Cognitive Science 27 (3):525-559.
    This paper provides an overview of developments in a dual processing theory of automatic and controlled processing that began with the empirical and theoretical work described by Schneider and Shiffrin (1977) and Shiffrin and Schneider (1977) over a quarter century ago. A review of relevant empirical findings suggests that there is a set of core behavioral phenomena reflecting differences between controlled and automatic processing that must be addressed by a successful theory. These phenomena relate to: consistency in training, serial versus (...)
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  50. Self-control: Beyond commitment.Howard Rachlin - 1995 - Behavioral and Brain Sciences 18 (1):109-121.
    Self-control, so important in the theory and practice of psychology, has usually been understood introspectively. This target article adopts a behavioral view of the self (as an abstract class of behavioral actions) and of self-control (as an abstract behavioral pattern dominating a particular act) according to which the development of self-control is a molar/molecular conflict in the development of behavioral patterns. This subsumes the more typical view of self-control as a now/later conflict in which an act of self-control is a (...)
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