... of the fuzzy controller is the sum of two nonlinear PI/PD controllers with variable gains. The gain variation and properties of the proposed controllers are studied. Two examples of nonlinear dynamic processes are considered to demonstrate the applicability of the proposed controllers. When the rule base...

... five sets of weighting α and β. Their values and the corresponding γ opt and J min are summarized in Table 1 . 29 12 2009 10 03 2011 22 11 2011 22 11 2011 control system synthesis fuzzy control fuzzy set theory robust control time-varying systems fuzzy...

... by a set of linear matrix inequalities. Illustrative examples are exploited to show the effectiveness of the proposed design procedures. 12 11 2009 14 03 2011 21 11 2011 21 11 2011 actuators delays fuzzy control fuzzy systems linear matrix inequalities Lyapunov methods...

.... 3C not only meets precision criteria of attitude angle but also exhibits small tip deformation. control system synthesis flexible structures fuzzy control space vehicles structural engineering variable structure systems vibration control dynamic stiffening sliding mode control...

... ) in Figs. 5 6 . In addition, the mean value of tracking errors over the 50 trajectories is shown in Figs. 7 8 . The simulation results show that the prescribed tracking performance is well achieved by the proposed fuzzy controller. This paper has investigated the problem of robust tracking...

... to that of the active suspension with optimal skyhook damper. compensation control system synthesis electrohydraulic control equipment feedback fuzzy control fuzzy set theory linear matrix inequalities minimisation nonlinear dynamical systems shock absorbers springs (mechanical) vehicle dynamics...

...%, compared with the experimental reduction of 77%. The controller minimized the response amplitude through synchronized switching without explicit knowledge of the beam’s natural frequency or the excitation frequency. Beam tip response with fuzzy control implementation and excitation at its fundamental...

... fault tolerance fuzzy control linear matrix inequalities Markov processes nonlinear control systems stability tracking fault tolerant control fuzzy control linear matrix inequality nonlinear systems stochastic stability tracking In the past two decades, significant research...

... be maximized for the shortest stopping distance or can be optimally distributed for vehicle stability. vehicle stability wheel slip control tire force estimation target slip assignment brake by wire automotive engineering braking control engineering computing force control fuzzy control...

... Environment ,” Phys. Lett. A 0375-9601 10.1016/0375-9601(96)00009-6 , 211 , pp. 350 – 356 . Calvo , O. , and Cartwright , J. H. E. , 1998 , “ Fuzzy Control of Chaos ,” Int. J. Bifurcation Chaos Appl. Sci. Eng. 0218-1274 10.1142/S0218127498001443 , 8 , pp. 1743 – 1747 . Guan...

...Huai-Ning Wu This paper is concerned with the design of reliable robust H ∞ fuzzy control for uncertain nonlinear continuous-time systems with Markovian jumping actuator faults. The Takagi and Sugeno fuzzy model is employed to represent an uncertain nonlinear system with Markovian jumping actuator...

...Chengying Xu; Yung C. Shin In this paper, a multi-level fuzzy control (MLFC) technique is developed and implemented for a creep-feed grinding process. The grinding force is maintained at the maximum allowable level under varying depth of cut, so that the highest metal removal rate is achieved...

...Chein-Chung Sun; Sheng-Ming Wu; Hung-Yuan Chung; Wen-Jer Chang This paper presents a new structure of Takagi-Sugeno (T-S) fuzzy controllers, which is called T-S fuzzy region controller or TSFRC for short. The fuzzy region concept is used to partition the plant rules into several fuzzy regions so...

... neural-fuzzy controller (ANFC) are presented: The former is used to generate desired self-motions in a real-time manner, and the latter is used to prevent the robot from tipping over and to control the end-effector to follow a desired spacial trajectory at the same time. The proposed algorithm does...

... control scheme, a set of Takagi-Sugeno (T-S) fuzzy controllers is synthesized to stabilize the NN linearly interconnected system. Finally, a numerical example with simulations is given to demonstrate the concepts discussed throughout this paper. 19 10 2004 09 08 2005 decentralised...

... = 0.838 486 . Denote the error E y = x 2 ( k ) − x d 2 ( k ) , the fuzzy control rules are given by, R ULE 1 I F E y IS PL T HEN u I S NL R ULE 2 I F E y I S PM T HEN u I S NM R ULE 3 I F...

... to evaluate the tension control performance and the control bandwidth. The developed track tension estimator (Sec. 2) and the controller (Sec. 4) are down loaded into the ECU where 100 Hz sampling rate is used for estimating the track tension and computing the fuzzy control output. As shown in Fig. 12...

...Wen-Jer Chang; Chong-Cheng Shing In this paper, a method is developed to find the output feedback fuzzy controllers for assigning a common state covariance matrix of discrete Takagi–Sugeno (T–S) fuzzy systems. The fuzzy control approach developed in this paper is based on the concept of Parallel...

... servomechanisms position control three-term control fuzzy control control system synthesis pneumatic actuators pneumatic drives fuzzy logic robust control friction Pneumatic drives are traditionally used in manipulation tasks to quickly move loads between two positions using simple on-off valves...

... multi-robot systems fuzzy control fuzzy logic force sensors end effectors Multiple cooperating manipulators make manufacturing systems more flexible and dexterous by allowing the system to handle complex tasks that are beyond the capacity of a single manipulator. For example, two or more...