Výsledky vyhľadávania - "Adaptive Dynamic Programming for Optimal Control"

Online reinforcement learning control via discontinuous gradient

Autori: Carlos A. Arellano‐Muro B. Castillo–Toledo S. Di Gennaro a ďalší

Zdroj: International Journal of Adaptive Control and Signal Processing. 38:1762-1776

Predmety: Iterative Learning Control in Engineering Practice, reinforcement learning, Artificial intelligence, 0209 industrial biotechnology, Iterative Learning Control, Sliding Mode Control, Structural engineering, Control (management), 02 engineering and technology, Engineering, Repetitive Control, Adaptive control/observation systems, Reinforcement learning, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, System identification, 4. Education, Disturbance Observer, 16. Peace & justice, Reinforcement Learning, Computer science, Reinforcement, Computational Theory and Mathematics, Control and Systems Engineering, Adaptive Dynamic Programming for Optimal Control, Computer Science, Physical Sciences, Robotic Control and Stabilization Techniques, nonlinear systems, robust control

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7957390
https://doi.org/10.1002/acs.3776

Robust and intelligent control of quadrotors subject to wind gusts

Autori: Paulo V. G. Simplício João R. S. Benevides Roberto S. Inoue a ďalší

Zdroj: IET Control Theory & Applications. 18:2594-2611

Predmety: Artificial neural network, Artificial intelligence, Aerodynamic Modeling, Astronomy, Trajectory, Robust control, Aerospace Engineering, FOS: Mechanical engineering, Linearization, Control (management), 02 engineering and technology, Quantum mechanics, 7. Clean energy, Adaptive Control, Engineering, Unmanned Aerial Vehicles for Wind Estimation and Soaring, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, Feedback linearization, Control system, Biology, Linear-quadratic regulator, Temperature control, Control engineering, Physics, Controller (irrigation), Computer science, Agronomy, Computational Theory and Mathematics, Control and Systems Engineering, Electrical engineering, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Computer Science, Nonlinear system, Robotic Control and Stabilization Techniques, PID controller

Fractional-order fuzzy sliding mode control of uncertain nonlinear MIMO systems using fractional-order reinforcement learning

Autori: Tarek A. Mahmoud Mohammad El-Hossainy Belal Abozalam a ďalší

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 2, Pp 3057-3085 (2024)

Predmety: Artificial neural network, 0209 industrial biotechnology, Artificial intelligence, Sliding mode control, Fractional-order sliding mode controller, Robustness (evolution), Control (management), Information technology, 02 engineering and technology, FOS: Health sciences, Levenberg Marquardt method, Biochemistry, Quantum mechanics, Gene, Engineering, Health Sciences, Reinforcement learning, Nonlinear systems, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), TSK-fuzzy system, Electrical and Electronic Engineering, Biology, Actor-critic algorithm, Computational intelligence, Physics, Controller (irrigation), Power System Stability and Control Analysis, QA75.5-76.95, T58.5-58.64, Reinforcement Learning, Computer science, Agronomy, Fuzzy logic, Chemistry, Infectious Diseases, Computational Theory and Mathematics, Fuzzy control system, Electronic computers. Computer science, Adaptive Dynamic Programming for Optimal Control, Computer Science, Physical Sciences, Nonlinear system, Medicine, Viral Hemorrhagic Fevers and Zoonotic Infections, Nonlinear Systems

Prístupová URL adresa: https://doaj.org/article/27f680b146a04330914f7ab31b4daa35

Event-triggered model-free adaptive control for nonlinear systems using intuitionistic fuzzy neural network: simulation and experimental validation

Autori: Sameh Abd‐Elhaleem Mohamed A. Hussien Mohamed Hamdy a ďalší

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2271-2297 (2023)

Predmety: Artificial neural network, Model-free adaptive control (MFAC), 0209 industrial biotechnology, Artificial intelligence, Sliding Mode Control, Linearization, Control (management), Information technology, 02 engineering and technology, Adaptive neuro fuzzy inference system, Quantum mechanics, 7. Clean energy, Adaptive Control, Engineering, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Control theory (sociology), Intuitionistic fuzzy neural network (IFNN), Biology, Adaptive Dynamic Programming, Lyapunov function, Data-driven control, Control engineering, Physics, Controller (irrigation), Adaptive control, QA75.5-76.95, Neural Network Fundamentals and Applications, T58.5-58.64, Computer science, Agronomy, Tracking error, Fuzzy logic, Discrete event-triggered, Computational Theory and Mathematics, Feedback Control, Fuzzy control system, Control and Systems Engineering, Electronic computers. Computer science, Computer Science, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Lyapunov stability, Nonlinear system, Robotic Control and Stabilization Techniques, Nonlinear Systems

Prístupová URL adresa: https://doaj.org/article/8fb0e7aa643c411da70b4d6b036116f9

Adaptive Prescribed Performance Asymptotic Tracking for High-Order Odd-Rational-Power Nonlinear Systems

Autori: Maolong Lv Bart De Schutter Jinde Cao a ďalší

Zdroj: IEEE Transactions on Automatic Control. 68:1047-1053

Predmety: Artificial intelligence, 0209 industrial biotechnology, Optimal Control, Trajectory, Control (management), 02 engineering and technology, Mathematical analysis, Quantum mechanics, Bandwidth (computing), Bounded function, Adaptive Control, Engineering, Tracking (education), Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Constraint Handling, Quantization (signal), Adaptive Dynamic Programming, Lyapunov function, Computer network, Hysteresis, Physics, Pedagogy, Uncertainty, Adaptive control, Integrator, Power (physics), Computer science, Fuzzy logic, FOS: Psychology, Computational Theory and Mathematics, Model Predictive Control in Industrial Processes, Control and Systems Engineering, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Computer Science, Nonlinear system, Robotic Control and Stabilization Techniques, Prescribed performance, Nonlinear dynamical systems, Asymptotic tracking, Control design, Neural networks, Nonlinear Systems, Mathematics, High-order odd-rational-power nonlinear systems

Prístupová URL adresa: http://resolver.tudelft.nl/uuid:c8e12baf-f9fb-472b-8343-bfc930c2c2a5

H∞ Control for Oscillator Systems With Event-Triggering Signal Transmission of Internet of Things

Autori: Luy Nguyen Tan Nishu Gupta Mohammad Derawi

Zdroj: IEEE Access. 11:8938-8949

Predmety: 0209 industrial biotechnology, Computer Networks and Communications, Optimal Control, Network Synchronization in Complex Systems, 02 engineering and technology, Mathematical analysis, Bounded function, Theoretical computer science, Distributed Multi-Agent Coordination and Control, Distributed Optimization, FOS: Mathematics, Event-Triggered Control, Impulsive Control, $H_{infty}$ Control, Discrete mathematics, Computer science, Transmission (telecommunications), Algorithm, World Wide Web, Computational Theory and Mathematics, Adaptive Dynamic Programming for Optimal Control, Computer Science, Physical Sciences, Computation, Telecommunications, The Internet, Mathematics

Neuro-Based Higher Order Sliding Mode Control for Perturbed Nonlinear Systems

Autori: Ahmed M. Elmogy Wael M. Elawady

Zdroj: Intelligent Automation & Soft Computing. 36:385-400

Predmety: Iterative Learning Control in Engineering Practice, Artificial neural network, Artificial intelligence, Sliding mode control, Optimal Control, Sliding Mode Control, Control (management), Mode (computer interface), Quantum mechanics, Adaptive Control, Engineering, Control theory (sociology), Inverted pendulum, Biology, Lyapunov function, Control engineering, Physics, 4. Education, Controller (irrigation), Computer science, Agronomy, Operating system, Computational Theory and Mathematics, Control and Systems Engineering, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Computer Science, Lyapunov stability, Nonlinear system, Robotic Control and Stabilization Techniques, Nonlinear Systems, Model-Free Adaptive Control

Optimal fractional-order PID controller based on fractional-order actor-critic algorithm

Autori: Raafat Shalaby Mohammad El-Hossainy Belal Abozalam a ďalší

Zdroj: Neural Computing and Applications. 35:2347-2380

Predmety: Settling time, Artificial neural network, Artificial intelligence, 0209 industrial biotechnology, Optimal Control, Economics, Fractional Order Control, Control (management), 02 engineering and technology, Quantum mechanics, PID Controller, Adaptive Control, Engineering, Actor-Critic Algorithm, Step response, Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Inverted pendulum, Biology, Economic growth, Analysis and Design of Fractional Order Control Systems, Temperature control, Particle swarm optimization, Control engineering, Physics, 4. Education, Controller (irrigation), Statistics, Computer science, Agronomy, Approximation error, Tracking error, Algorithm, Computational Theory and Mathematics, Control and Systems Engineering, Adaptive Dynamic Programming for Optimal Control, Computer Science, Physical Sciences, Convergence (economics), Nonlinear system, Telecommunications, Robotic Control and Stabilization Techniques, PID controller, Mean squared error, Overshoot (microwave communication), Mathematics

Neural Network Based Adaptive Inverse Optimal Control for Non-Affine Nonlinear Systems

Autori: Muhammet Emre Sancı Gülay Öke Günel

Zdroj: Neural Processing Letters. 56

Predmety: Iterative Learning Control in Engineering Practice, Artificial neural network, Artificial intelligence, 0209 industrial biotechnology, Complex system, Optimal Control, Iterative Learning Control, Geometry, Control (management), 02 engineering and technology, Quantum mechanics, Adaptive Control, Engineering, Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computational intelligence, Physics, 4. Education, Pure mathematics, Adaptive control, Affine transformation, Computer science, Computational Theory and Mathematics, Control and Systems Engineering, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Computer Science, Nonlinear system, Robotic Control and Stabilization Techniques, Inverse, Nonlinear Systems, Mathematics, Model-Free Adaptive Control

Offline Decentralized Multi-Agent Reinforcement Learning

Autori: Jiechuan Jiang Zongqing Lu

Zdroj: Frontiers in Artificial Intelligence and Applications ISBN: 9781643684369

Predmety: Exploit, FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, 0209 industrial biotechnology, Computer Networks and Communications, Reinforcement Learning Algorithms, Normalization (sociology), 02 engineering and technology, Biochemistry, Gene, Multi-Agent Systems, Machine Learning (cs.LG), Value (mathematics), Sociology, Artificial Intelligence, Distributed Multi-Agent Coordination and Control, Distributed Optimization, Computer security, Reinforcement learning, Machine learning, Computer Science - Multiagent Systems, Simulation to Real-world Transfer, Reinforcement Learning, Computer science, FOS: Sociology, Chemistry, Transition (genetics), Computational Theory and Mathematics, Online Learning, Anthropology, Computer Science, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Multiagent Systems (cs.MA)

Prístupová URL adresa: http://arxiv.org/abs/2108.01832

Adaptive Active Disturbance Rejection Control for Rendezvous of a Swarm of Drones

Autori: Adeel Zaidi Muhammad Kazim Rui Weng a ďalší

Zdroj: IEEE Access, Vol 10, Pp 90355-90368 (2022)

Predmety: Artificial intelligence, 0209 industrial biotechnology, Consensus, Computer Networks and Communications, Unmanned Aerial Vehicle Communications, Aerospace Engineering, FOS: Mechanical engineering, Control (management), 02 engineering and technology, drone, extended state observer, Swarm behaviour, Engineering, Distributed Multi-Agent Coordination and Control, rendezvous, Control theory (sociology), FOS: Mathematics, Genetics, Event-Triggered Control, wind gust, Drone Applications, Spacecraft, Biology, Adaptive Dynamic Programming, Topology (electrical circuits), Rendezvous, Computer science, Drone, TK1-9971, Aerospace engineering, Computational Theory and Mathematics, Multi-agent system, Combinatorics, FOS: Biological sciences, Computer Science, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Electrical engineering. Electronics. Nuclear engineering, Mathematics

Prístupová URL adresa: https://doaj.org/article/7e82d86de961466cb280e6321ed66f1e

Integral Adaptive Sliding Mode Control for Quadcopter UAV Under Variable Payload and Disturbance

Autori: Ahmed Eltayeb M. F. Rahmat Mohd Ariffanan Mohd Basri a ďalší

Zdroj: IEEE Access, Vol 10, Pp 94754-94764 (2022)

Predmety: Artificial intelligence, 0209 industrial biotechnology, Sliding mode control, Sliding Mode Control, Robust control, Attitude control, 02 engineering and technology, adaptive control, Adaptive Control, Engineering, Control system, Computer network, Control engineering, Physics, Quadcopter UAV, Aerospace engineering, Computational Theory and Mathematics, Physical Sciences, Robotic Control and Stabilization Techniques, Electrical engineering. Electronics. Nuclear engineering, Variable structure control, chattering reduction, MATLAB, integral SMC control, Computer Networks and Communications, Control (management), Quadcopter, Mathematical analysis, Quantum mechanics, TK Electrical engineering. Electronics Nuclear engineering, Distributed Multi-Agent Coordination and Control, Control theory (sociology), FOS: Mathematics, Biology, Adaptive Dynamic Programming, Lyapunov function, Network packet, Controller (irrigation), Adaptive control, Computer science, Payload (computing), Hyperbolic function, Agronomy, TK1-9971, Operating system, Control and Systems Engineering, Electrical engineering, Computer Science, Adaptive Dynamic Programming for Optimal Control, Nonlinear system, Inner loop, Mathematics

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/0d072012a57246cba9df5c20b1e0db21

Reinforcement Learning Based Hierarchical Multi-Agent Robotic Search Team in Uncertain Environment

Autori: Shahzaib Hamid Ali Nasir Yasir Saleem

Zdroj: Mehran University Research Journal of Engineering and Technology, Vol 40, Iss 3, Pp 645-662 (2021)

Predmety: Technology, Artificial intelligence, 0209 industrial biotechnology, Computer Networks and Communications, Robot, Science, Reinforcement Learning Algorithms, 02 engineering and technology, 7. Clean energy, Multi-Agent Systems, Artificial Intelligence, Distributed Multi-Agent Coordination and Control, Reinforcement learning, Machine learning, FOS: Mathematics, Markov process, Statistics, Robotics, Engineering (General). Civil engineering (General), Reinforcement Learning, Computer science, Process (computing), Operating system, Computational Theory and Mathematics, Multi-agent system, 13. Climate action, Computer Science, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Dependency (UML), TA1-2040, Markov decision process, Mathematics

Prístupová URL adresa: https://publications.muet.edu.pk/index.php/muetrj/article/download/2187/538
https://doaj.org/article/1c006bb0ddcb4ce686e347e08059f244
https://ui.adsabs.harvard.edu/abs/2021MURJE..40..645H/abstract

Adaptive Dynamic Programming based Control Scheme for Uncertain Two-Wheel Robots

Autori: Thien Van Nguyen Hai Xuan Le Hoang Tran a ďalší

Zdroj: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). :111-116

Predmety: Artificial intelligence, 0209 industrial biotechnology, Kinematics, Optimal Control, Robot, Economics, Mechanical Circulatory Support Systems, Reinforcement Learning Algorithms, Biomedical Engineering, Control (management), 02 engineering and technology, FOS: Medical engineering, Dynamic programming, Mathematical analysis, Engineering, Artificial Intelligence, Reinforcement learning, Control theory (sociology), FOS: Mathematics, Classical mechanics, Biology, Economic growth, Scheme (mathematics), Adaptive Dynamic Programming, Control engineering, Physics, 4. Education, Controller (irrigation), Mathematical optimization, Adaptive control, Computer science, Agronomy, Optimal control, Algorithm, Computational Theory and Mathematics, Adaptive Dynamic Programming for Optimal Control, Computer Science, Physical Sciences, Convergence (economics), Mathematics

Prístupová URL adresa: https://www.techrxiv.org/articles/preprint/Adaptive_Dynamic_Programming_based_Control_Scheme_for_Uncertain_Two-Wheel_Robots/14410712/files/27547517.pdf
https://dblp.uni-trier.de/db/conf/icarsc/icarsc2021.html#NguyenLTNNN21a
https://www.techrxiv.org/articles/preprint/Adaptive_Dynamic_Programming_based_Control_Scheme_for_Uncertain_Two-Wheel_Robots/14410712
http://www.techrxiv.org/articles/preprint/Adaptive_Dynamic_Programming_based_Control_Scheme_for_Uncertain_Two-Wheel_Robots/14410712
https://ieeexplore.ieee.org/document/9429805

Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine

Autori: Kwok Wing Chau Pezhman Taherei Ghazvinei Shahab S. Band a ďalší

Prispievatelia: Kwok Wing Chau Pezhman Taherei Ghazvinei Shahab S. Band a ďalší

Zdroj: Energy Science & Engineering, Vol 9, Iss 5, Pp 633-644 (2021)

Predmety: Artificial neural network, Technology, Artificial intelligence, tidal current turbine, Extreme learning machine, Electricity Price and Load Forecasting Methods, Tidal current turbine, Science, Marine engineering, 0211 other engineering and technologies, FOS: Mechanical engineering, 02 engineering and technology, Genetic programming, 7. Clean energy, support vector machines, extreme learning machine, Engineering, Artificial Intelligence, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Theory and Applications of Extreme Learning Machines, co‐efficient of performance, Tidal power, Support vector machines, Electricity Price Forecasting, Co-efficient of performance, Load Forecasting, Computer science, Regression, Mechanical engineering, Algorithm, folding tidal turbine, Computational Theory and Mathematics, Folding tidal turbine, Computer Science, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, genetic programming, Short-Term Forecasting, Extreme Learning Machine, Turbine

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ese3.849
https://doaj.org/article/0e07c7d63ddd415880c50ca32c9e2d81
http://eprints.utp.edu.my/23942/
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.849
https://onlinelibrary.wiley.com/doi/10.1002/ese3.849

Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter

Autori: Safeer Ullah Adeel Mehmood Qudrat Khan a ďalší

Zdroj: International Journal of Control, Automation and Systems. 18:1671-1678

Predmety: Dissipative system, Artificial intelligence, 0209 industrial biotechnology, Sliding mode control, Optimal Control, Robustness (evolution), Sliding Mode Control, Robust control, Aerospace Engineering, FOS: Mechanical engineering, Control (management), 02 engineering and technology, Quadcopter, Biochemistry, Quantum mechanics, Gene, Adaptive Control, Engineering, Control theory (sociology), Integral sliding mode, Control system, Finite-Time Stability, Lyapunov function, Control engineering, Physics, Adaptive control, Unmanned aerial vehicle, Sliding Mode, Computer science, Chemistry, Aerospace engineering, Computational Theory and Mathematics, Control and Systems Engineering, Backstepping, Electrical engineering, Physical Sciences, Missile Guidance and Control Strategies, Adaptive Dynamic Programming for Optimal Control, Computer Science, Lyapunov stability, Nonlinear system, Robotic Control and Stabilization Techniques, Under-actuated, Integral sliding mode control

Prístupová URL adresa: https://hull-repository.worktribe.com/preview/3844267/IJCAS_Quadcopter.pdf
https://link.springer.com/article/10.1007/s12555-019-0302-3

PID Controller Autotuning Design by a Deterministic Q-SLP Algorithm

Autori: Jirapun Pongfai Xiaojie Su Huiyan Zhang a ďalší

Zdroj: IEEE Access, Vol 8, Pp 50010-50021 (2020)

Predmety: Optimal Control, Economics, 02 engineering and technology, Quantum mechanics, PID Controller, optimal control, Adaptive Control, Engineering, central position control system, swarm learning process algorithm, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Controller Tuning, Stability (learning theory), Economic growth, Analysis and Design of Fractional Order Control Systems, Lyapunov function, Q-learning algorithm, Temperature control, Arithmetic, Control engineering, Physics, Extremum Seeking Control in Dynamic Systems, Computer science, TK1-9971, Algorithm, Autotuning gain, Computational Theory and Mathematics, Control and Systems Engineering, Notation, Physical Sciences, Adaptive Dynamic Programming for Optimal Control, Computer Science, Convergence (economics), Nonlinear system, PID controller, Electrical engineering. Electronics. Nuclear engineering, Mathematics, Nonlinear Control

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031348.pdf
https://doaj.org/article/5f93bf1b3b82485c96d182f60fab16ef
https://ieeexplore.ieee.org/document/9031348
https://dblp.uni-trier.de/db/journals/access/access8.html#PongfaiSZA20

A Multi-Critic Reinforcement Learning Method: An Application to Multi-Tank Water Systems

Autori: Juan Martinez-Piazuelo Daniel E. Ochoa Nicanor Quijano a ďalší

Zdroj: IEEE Access, Vol 8, Pp 173227-173238 (2020)

Predmety: Artificial neural network, reinforcement learning, actor-critic methods, Artificial intelligence, 0209 industrial biotechnology, Reinforcement Learning Algorithms, 02 engineering and technology, Quantum mechanics, Multi-Agent Systems, Systems engineering, Task (project management), Engineering, deep deterministic policy gradient, Artificial Intelligence, Actor-Critic Algorithm, Reinforcement learning, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Adaptive Dynamic Programming, Data-driven control, Physics, Mathematical optimization, water-tank systems, Reinforcement Learning, Computer science, 6. Clean water, TK1-9971, Process (computing), Optimal control, Operating system, Computational Theory and Mathematics, Adaptive Dynamic Programming for Optimal Control, Computer Science, Physical Sciences, Nonlinear system, Electrical engineering. Electronics. Nuclear engineering, approximate dynamic programming, Mathematics

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09200594.pdf
https://doaj.org/article/0354c269f2bc4e5eb256431311701bea
https://dblp.uni-trier.de/db/journals/access/access8.html#Martinez-Piazuelo20
https://ieeexplore.ieee.org/abstract/document/9200594
https://doi.org/10.1109/ACCESS.2020.3025194

An Improved Design of an Adaptive Sliding Mode Controller for Chattering Attenuation and Trajectory Tracking of the Quadcopter UAV

Autori: Ahmed Eltayeb M. F. Rahmat Mohd Ariffanan Mohd Basri a ďalší

Zdroj: IEEE Access, Vol 8, Pp 205968-205979 (2020)
IEEE Access

Predmety: Artificial intelligence, 0209 industrial biotechnology, Sliding mode control, SMC control, Astronomy, Robustness (evolution), Sliding Mode Control, Trajectory, Robust control, chattering, 02 engineering and technology, Control of Nonholonomic Mobile Robots, adaptive control, Biochemistry, Gene, Adaptive Control, Engineering, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Control system, Control engineering, Physics, General Engineering, Quadcopter UAV, type-2 fuzzy logic, Attenuation, Trajectory Tracking, Chemistry, Aerospace engineering, Computational Theory and Mathematics, Feedback Control, Physical Sciences, Robotic Control and Stabilization Techniques, Electrical engineering. Electronics. Nuclear engineering, MATLAB, General Computer Science, Control (management), Quadcopter, Quantum mechanics, TK Electrical engineering. Electronics Nuclear engineering, Control theory (sociology), Biology, Adaptive Dynamic Programming, Controller (irrigation), Optics, Computer science, Agronomy, TK1-9971, Operating system, Control and Systems Engineering, Electrical engineering, Adaptive Dynamic Programming for Optimal Control, Computer Science, Nonlinear system, PID controller

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/53175193ff724fd5a5f12ba304637c84
http://eprints.utm.my/id/eprint/90974/
https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-991055
https://dblp.uni-trier.de/db/journals/access/access8.html#EltayebRBEE20
https://ieeexplore.ieee.org/abstract/document/9257349/

Design of a robust interval type-2 fuzzy adaptive super twisting control for a given class of disturbed MIMO nonlinear systems

Autori: Nabil Nafia Abdelali El Hazim Ayyad a ďalší

Zdroj: FME Transactions, Vol 48, Iss 1, Pp 63-74 (2020)

Predmety: Artificial intelligence, 0209 industrial biotechnology, Class (philosophy), Interval (graph theory), 02 engineering and technology, adaptive control, Adaptive Control, Engineering, 0202 electrical engineering, electronic engineering, information engineering, Finite-Time Stability, Control engineering, Physics, 4. Education, Statistics, Mechanics of engineering. Applied mechanics, Geology, TA349-359, Engineering (General). Civil engineering (General), MIMO, Computational Theory and Mathematics, Physical Sciences, Robotic Control and Stabilization Techniques, nonlinear systems, TA1-2040, 0210 nano-technology, Type (biology), Control (management), type-2 fuzzy systems, Quantum mechanics, super twisting control, Beamforming, Control theory (sociology), FOS: Mathematics, tracking control, Chaos Synchronization and Control in Complex Systems, Paleontology, Statistical and Nonlinear Physics, FOS: Earth and related environmental sciences, Computer science, Fuzzy logic, Physics and Astronomy, Nonlinear Dynamics, Fuzzy control system, Control and Systems Engineering, Combinatorics, Adaptive Dynamic Programming for Optimal Control, Computer Science, Nonlinear system, Adaptive Synchronization, Nonlinear Systems, Mathematics

Prístupová URL adresa: https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2020/1451-20922001063N.pdf
https://doaj.org/article/979f0fb8bb4445d2ba26710d2762cc18
https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2020/1451-20922001063N.pdf
https://scindeks.ceon.rs/article.aspx?artid=1451-20922001063N