4.7 Article

Adaptive stable backstepping controller based on support vector regression for nonlinear systems

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Online Support Vector Regression Based Adaptive NARMA-L2 Controller for Nonlinear Systems

Kemal Ucak et al.

Summary: NARMA-L2 controller success relies on accurate estimation of controlled system dynamics, the proposed method combines the functionality of NARMA-L2 controllers with the generalization capability of SVR, and utilizes online SVR to obtain subdynamics of the controlled plant. The robustness of the designed controller was validated through simulations on a nonlinear CSTR system.

NEURAL PROCESSING LETTERS (2021)

Article Computer Science, Information Systems

Design of fuzzy system-fuzzy neural network-backstepping control for complex robot system

Kunming Zheng et al.

Summary: This study addresses the control problem of complex robot systems with uncertainties and disturbances using the FS-FNN-BSC system, which guarantees accurate, stable and efficient control. By utilizing fuzzy system and fuzzy neural network technologies, modeling and non-modeling information is approximated and predicted, respectively. The stability of the FS-FNN-BSC system is proved based on the Lyapunov stability theorem, and its superiority is demonstrated through quantitative comparison with existing intelligent control methods on the series and parallel robots.

INFORMATION SCIENCES (2021)

Article Computer Science, Artificial Intelligence

Model-free MIMO self-tuning controller based on support vector regression for nonlinear systems

Kemal Ucak et al.

Summary: A model-free self-tuning controller based on online support vector regression is proposed for nonlinear and MIMO systems, optimizing PID controller parameters without the need for system modeling or dynamic estimation. The control architecture combines the prediction capability of SVR with the robustness of PID controllers.

NEURAL COMPUTING & APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

An adaptive sliding mode controller based on online support vector regression for nonlinear systems

Kemal Ucak et al.

SOFT COMPUTING (2020)

Article Computer Science, Information Systems

Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

Yunmei Fang et al.

IEEE ACCESS (2020)

Article Automation & Control Systems

RBF-ARX model-based fast robust MPC approach to an inverted pendulum

Xiaoying Tian et al.

ISA TRANSACTIONS (2019)

Article Computer Science, Artificial Intelligence

Design of adaptive backstepping dynamic surface control method with RBF neural network for uncertain nonlinear system

Xiaoyu Shi et al.

NEUROCOMPUTING (2019)

Article Automation & Control Systems

Model free adaptive support vector regressor controller for nonlinear systems

Kemal Ucak et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)

Article Automation & Control Systems

Adaptive Neural Backstepping Control Design for A Class of Nonsmooth Nonlinear Systems

Xudong Zhao et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)

Proceedings Paper Automation & Control Systems

Energy-efficient Swing-up and MPC Stabilization of an Inverted Pendulum

Martin Gulan et al.

PROCEEDINGS OF THE 2019 22ND INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC19) (2019)

Article Engineering, Multidisciplinary

Modeling of inverted pendulum system with gravitational search algorithm optimized controller

Mohamed Magdy et al.

AIN SHAMS ENGINEERING JOURNAL (2019)

Article Automation & Control Systems

Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System

Ding Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Computer Science, Artificial Intelligence

Adaptive Backstepping-Based Neural Tracking Control for MIMO Nonlinear Switched Systems Subject to Input Delays

Ben Niu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Generalized self-tuning regulator based on online support vector regression

Kemal Ucak et al.

NEURAL COMPUTING & APPLICATIONS (2017)

Article Computer Science, Artificial Intelligence

Composite learning from adaptive backstepping neural network control

Yongping Pan et al.

NEURAL NETWORKS (2017)

Article Automation & Control Systems

Adaptive Neural Backstepping for a Class of Switched Nonlinear System Without Strict-Feedback Form

Zhiliang Liu et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2017)

Proceedings Paper Automation & Control Systems

Robust Control for Robot Manipulators: Support Vector Regression Based Command Filtered Adaptive Backstepping Approach

Joseph Jean-Baptiste Mvogo Ahanda et al.

IFAC PAPERSONLINE (2017)

Article Computer Science, Artificial Intelligence

An adaptive support vector regressor controller for nonlinear systems

Kemal Ucak et al.

SOFT COMPUTING (2016)

Article Computer Science, Artificial Intelligence

Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems With Dead-Zone

Yan-Jun Liu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)

Article Mechanics

Semi-active linear vacuum packed particles damper

Robert Zalewski et al.

Journal of Theoretical and Applied Mechanics (2016)

Article Computer Science, Artificial Intelligence

A Novel Adaptive NARMA-L2 Controller Based on Online Support Vector Regression for Nonlinear Systems

Kemal Ucak et al.

NEURAL PROCESSING LETTERS (2016)

Article Automation & Control Systems

A Robust Adaptive RBFNN Augmenting Backstepping Control Approach for a Model-Scaled Helicopter

Yao Zou et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2015)

Article Computer Science, Artificial Intelligence

Backstepping Fuzzy-Neural-Network Control Design for Hybrid Maglev Transportation System

Rong-Jong Wai et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori

Weisheng Chen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Design of Fuzzy-Neural-Network-Inherited Backstepping Control for Unmanned Underwater Vehicle

Yuxin Fu et al.

ADVANCES IN NEURAL NETWORKS - ISNN 2015 (2015)

Article Automation & Control Systems

Adaptive neural observer-based backstepping fault tolerant control for near space vehicle under control effector damage

Bin Jiang et al.

IET CONTROL THEORY AND APPLICATIONS (2014)

Article Engineering, Multidisciplinary

Stabilization and Tracking Control of Inverted Pendulum Using Fractional Order PID Controllers

Sunil Kumar Mishra et al.

JOURNAL OF ENGINEERING (2014)

Proceedings Paper Engineering, Electrical & Electronic

Introducing Neural Networks as a Computational Intelligent Technique

Aydin Azizi et al.

INTELLIGENT MATERIALS AND MECHATRONICS (2014)

Article Computer Science, Artificial Intelligence

Direct adaptive fuzzy backstepping control of uncertain nonlinear systems in the presence of input saturation

Yongming Li et al.

NEURAL COMPUTING & APPLICATIONS (2013)

Article Computer Science, Artificial Intelligence

Globally stable direct adaptive backstepping NN control for uncertain nonlinear strict-feedback systems

Jian Wu et al.

NEUROCOMPUTING (2013)

Article Computer Science, Artificial Intelligence

Adaptive Fuzzy Output Feedback Tracking Backstepping Control of Strict-Feedback Nonlinear Systems With Unknown Dead Zones

Shaocheng Tong et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

Observer-Based Adaptive Fuzzy Backstepping Output Feedback Control of Uncertain MIMO Pure-Feedback Nonlinear Systems

Shaocheng Tong et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

Robust Adaptive Fuzzy Control by Backstepping for a Class of MIMO Nonlinear Systems

Hyeongcheol Lee

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2011)

Article Automation & Control Systems

Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems

Shaocheng Tong et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2011)

Article Automation & Control Systems

Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems

Shao-Cheng Tong et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2011)

Article Automation & Control Systems

Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays

Weisheng Chen et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2010)

Article Automation & Control Systems

A comparative study on a novel model-based PID tuning and control mechanism for nonlinear systems

S. Iplikci

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2010)

Article Computer Science, Artificial Intelligence

Support vector machines based neuro-fuzzy control of nonlinear systems

S. Iplikci

NEUROCOMPUTING (2010)

Article Computer Science, Artificial Intelligence

Dynamic fuzzy neural networks modeling and adaptive backstepping tracking control of uncertain chaotic systems

Da Lin et al.

NEUROCOMPUTING (2010)

Article Computer Science, Information Systems

Robust adaptive fuzzy backstepping output feedback tracking control for nonlinear system with dynamic uncertainties

Tong ShaoCheng et al.

SCIENCE CHINA-INFORMATION SCIENCES (2010)

Article Computer Science, Theory & Methods

Fuzzy adaptive observer backstepping control for MIMO nonlinear systems

Tong Shaocheng et al.

FUZZY SETS AND SYSTEMS (2009)

Article Computer Science, Artificial Intelligence

A Combined Backstepping and Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control

Shao-Cheng Tong et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)

Article Automation & Control Systems

Adaptive backstepping dynamic surface control for systems with periodic disturbances using neural networks

W. S. Chen

IET CONTROL THEORY AND APPLICATIONS (2009)

Article Computer Science, Artificial Intelligence

Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach

An-Min Zou et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)

Article Computer Science, Artificial Intelligence

Robust adaptive backstepping motion control of linear ultrasonic motors using fuzzy neural network

Faa-Jeng Lin et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)

Article Automation & Control Systems

Online trained support vector machines-based generalized predictive control of non-linear systems

S. Iplikci

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2006)

Article Automation & Control Systems

Support vector machines-based generalized predictive control

S. Iplikci

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2006)

Article Computer Science, Artificial Intelligence

Wavelet adaptive backstepping control for a class of nonlinear systems

Chun-Fei Hsu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)

Article Automation & Control Systems

Recurrent-neural-network-based adaptive-backstepping control for induction servomotors

CM Lin et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2005)

Article Computer Science, Artificial Intelligence

Robust and adaptive backstepping control for nonlinear systems using RBF neural networks

YH Li et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2004)

Article Automation & Control Systems

Reconfigurable flight control system design using adaptive neural networks

DH Shin et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2004)

Article Computer Science, Cybernetics

A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems

YS Yang et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2004)

Article History & Philosophy Of Science

What is stability?

SO Hansson et al.

SYNTHESE (2003)

Article Automation & Control Systems

Design and implementation of industrial neural network controller using backstepping

O Kuljaca et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2003)

Article Computer Science, Artificial Intelligence

Accurate on-line support vector regression

JS Ma et al.

NEURAL COMPUTATION (2003)

Article Computer Science, Artificial Intelligence

Robust fuzzy neural network control for linear ceramic motor drive via backstepping design technique

RJ Wai et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2002)

Article Engineering, Aerospace

Nonlinear adaptive flight control using backstepping and neural networks controller

T Lee et al.

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS (2001)

Article Computer Science, Cybernetics

Robust backstepping control of nonlinear systems using neural networks

C Kwan et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2000)

Article Computer Science, Artificial Intelligence

Robust backstepping control of induction motors using neural networks

CM Kwan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2000)