... these constraints the training algorithm can procure one or several unstable local models even if the desired accuracy in the training step is achieved. The considered robust control approach is the internal model. It is synthesized based on the Takagi-Sugeno fuzzy model. Two control strategies are considered...

..., the power system experiences chaotic oscillations (Meiling et al., 2014). As a consequence, the angular speed of the generator oscillates in a wide range and the output voltage and frequency change in a random manner. Fuzzy logic Stability Robust control Nonlinear control Adaptive control...

... controller (van Soest et al., 2006). Sliding mode control method is one of the most promising robust control techniques due to its insensitivity to matched parameter variations and external disturbances (Cong et al., 2011). In Jin et al. (2008) a desired sliding mode manifold...

...Peng Pan; Shun Jiang; Feng Pan Purpose – The purpose of this paper is with robust control problem for event-triggered networked control systems (NCSs) with actuator failures and time-varying transmission delays. Design/methodology/approach – A random sequence is introduced to describe...

... (Chen et al., 2009), adaptive feedback linearization control (Shojaei et al., 2011), robust control (Biglarbegian, 2013), robust adaptive control (Dong and Kuhnert, 2005) and adaptive robust control (Boukattaya et al., 2011). Alternatively, intelligent control has become...

.... © Emerald Group Publishing Limited 2013 Flight control Nonlinear control Real-time systems Robust control Variable structure control During reentry, flight control systems of reentry vehicles operate over a large flight envelop. The reentry vehicles enter the atmosphere at high...