Technical communique: Sliding mode control of singular stochastic hybrid systems

By Ligang Wu, D.W.C. Ho. 2010

297 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/2bacebfc5c401041b634e11ff1b90f189786c862

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Peng Shi
2. Hongyi Li
3. Huijun Gao
4. Shaocheng Tong
5. Zidong Wang
6. Yong-ming Li
7. Haiping Du
8. Lixian Zhang

In Control and Systems Engineering

1. Hongyi Li
2. Peng Shi
3. Shaocheng Tong
4. Yong-ming Li
5. Qi Zhou
6. Huijun Gao
7. Haiping Du
8. Tong Wang

Citations in the corpus

• Fault-Tolerant Control for Nonlinear Markovian Jump Systems via Proportional and Derivative Sliding Mode Observer Technique (2011, background): “Over the past few decades, a variety of SMC schemes have been developed for various types of dynamical systems, such as Markovian jump systems [21], [12], hybrid systems [27], piecewise systems [30], singular systems [22], [ 21 ], and so on. Since SMC possesses the ability to eliminate or compensate”
• Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics (2014, methodology): “Based on the Itô stochastic differential equation, many stochastic nonlinear system control results and the methods, such as the sliding mode control [1], [2], Lyapunov function approach [3], and Takagi– Sugeno fuzzy control [4]–[7], have been reported in the literature.”
• Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach (2013, methodology): “Wu and Ho [30] proposed a new sliding-surface function design method for singular systems; also, this method can be used to the sliding-mode control of singular stochastic hybrid systems.”
• Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (2016, methodology): “In order to compensate the uncertainties or faults, several control methods have been applied, such as fuzzy control [26], [27], adaptive control [28]–[30], sliding mode control (SMC) [31]–[33], and backstepping control [4], [34].”
• Robust Sliding Mode Control for Discrete Stochastic Systems With Mixed Time Delays, Randomly Occurring Uncertainties, and Randomly Occurring Nonlinearities (2012, background): “For example, the concept of SMC has been widely employed for uncertain systems [2], [8], [23], stochastic systems [7], [15], [19], and fuzzy systems [12], [22].”