Data-driven sliding mode tracking control for unknown Markovian jump non-linear systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2017.0321 ◽

2017 ◽

Vol 11 (16) ◽

pp. 2716-2723 ◽

Author(s):

Xiaoru Niu ◽

Xianwen Gao ◽

Yongpeng Weng

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Sliding Mode ◽

Data Driven ◽

Markovian Jump ◽

Non Linear Systems ◽

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Data-driven-based event-triggered tracking control for non-linear systems with unknown disturbance

IET Control Theory and Applications ◽

10.1049/iet-cta.2019.0051 ◽

2019 ◽

Vol 13 (14) ◽

pp. 2197-2206 ◽

Author(s):

Hai-Feng Li ◽

Ying-Chun Wang ◽

Hua-Guang Zhang

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Data Driven ◽

Non Linear Systems ◽

Unknown Disturbance ◽

Event Triggered

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Adaptive tracking control for a class of stochastic non-linear systems with input delay: a novel approach based on multi-dimensional Taylor network

IET Control Theory and Applications ◽

10.1049/iet-cta.2020.0336 ◽

2020 ◽

Vol 14 (15) ◽

pp. 2147-2153

Author(s):

Yu-Qun Han

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Input Delay ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Novel Approach ◽

Non Linear Systems

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A morphing method for exact tracking control of nonminimum phase non linear systems

2007 46th IEEE Conference on Decision and Control ◽

10.1109/cdc.2007.4434826 ◽

2007 ◽

Author(s):

Luca Consolini ◽

Mario Tosques

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Nonminimum Phase ◽

Non Linear Systems

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Free chattering hybrid sliding mode control for a class of non-linear systems: electric vehicles as a case study

IET Science Measurement & Technology ◽

10.1049/iet-smt.2016.0091 ◽

2016 ◽

Vol 10 (7) ◽

pp. 776-785 ◽

Author(s):

Mohammad Hassan Khooban ◽

Taher Niknam ◽

Moslem Dehghani ◽

Frede Blaabjerg

Keyword(s):

Sliding Mode Control ◽

Linear Systems ◽

Electric Vehicles ◽

Sliding Mode ◽

Mode Control ◽

Non Linear Systems

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Robust integral sliding mode- H ∞ control of one-sided Lipschitz non-linear systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2018.5510 ◽

2018 ◽

Vol 12 (17) ◽

pp. 2357-2367 ◽

Author(s):

Wajdi Saad ◽

Anis Sellami ◽

Germain Garcia

Keyword(s):

Linear Systems ◽

Sliding Mode ◽

Integral Sliding Mode ◽

Non Linear Systems

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On the fault diagnosis problem for non-linear systems: A fuzzy sliding-mode observer approach1

Journal of Intelligent & Fuzzy Systems ◽

10.3233/ifs-2009-0427 ◽

2009 ◽

Vol 20 (4, 5) ◽

pp. 187-199 ◽

Author(s):

B. Castillo-Toledo ◽

S. Di Gennaro ◽

J. Anzurez-Marin

Keyword(s):

Fault Diagnosis ◽

Linear Systems ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Fuzzy Sliding Mode ◽

Non Linear Systems

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Prediction-based sliding mode control of non-linear systems with input delay using disturbance observer

IET Control Theory and Applications ◽

10.1049/iet-cta.2018.5706 ◽

2019 ◽

Vol 13 (13) ◽

pp. 2047-2055

Author(s):

Seyed Hamze Moosapour ◽

Mohammad Ataei ◽

Mohsen Ekramian

Keyword(s):

Sliding Mode Control ◽

Linear Systems ◽

Disturbance Observer ◽

Sliding Mode ◽

Input Delay ◽

Mode Control ◽

Non Linear Systems

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Sliding mode control for non-linear systems by Takagi–Sugeno fuzzy model and delta operator approaches

IET Control Theory and Applications ◽

10.1049/iet-cta.2016.0231 ◽

2017 ◽

Vol 11 (8) ◽

pp. 1205-1213 ◽

Author(s):

Jiahui Wang ◽

Yabin Gao ◽

Jianbin Qiu ◽

Choon Ki Ahn

Keyword(s):

Sliding Mode Control ◽

Linear Systems ◽

Sliding Mode ◽

Fuzzy Model ◽

Delta Operator ◽

Mode Control ◽

Non Linear Systems ◽

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Simple adaptive robust output tracking control schemes of uncertain parametric strict-feedback non-linear systems with unknown input saturations

IET Control Theory and Applications ◽

10.1049/iet-cta.2017.1359 ◽

2018 ◽

Vol 12 (12) ◽

pp. 1694-1703 ◽

Author(s):

Hansheng Wu

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Unknown Input ◽

Output Tracking ◽

Output Tracking Control ◽

Control Schemes ◽

Non Linear Systems ◽

Strict Feedback

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Adaptive neural network tracking control for switched uncertain non-linear systems with actuator failures and time-varying delays

IET Control Theory and Applications ◽

10.1049/iet-cta.2018.6188 ◽

2019 ◽

Vol 13 (12) ◽

pp. 1929-1939 ◽

Author(s):

Qinghua Hou ◽

Jiuxiang Dong ◽

Changjiang Xi

Keyword(s):

Neural Network ◽

Linear Systems ◽

Tracking Control ◽

Time Varying ◽

Adaptive Neural Network ◽

Actuator Failures ◽

Non Linear Systems

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