Feng,
G.
, 2006, “
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems,” IEEE Trans. Fuzzy Syst.,
14(5), pp. 676–697.

[CrossRef]
Yue,
M.
,
An,
C.
,
Du,
Y.
, and
Sun,
J.
, 2015, “
Indirect Adaptive Fuzzy Control for a Nonholonomic/Underactuated Wheeled Inverted Pendulum Vehicle Based on a Data-Driven Trajectory Planner,” Fuzzy Sets Syst.,
290, pp. 158–177.

[CrossRef]
Wai,
R.-J.
,
Chen,
M.-W.
, and
Liu,
Y.-K.
, 2015, “
Design of Adaptive Control and Fuzzy Neural Network Control for Single-Stage Boost Inverter,” IEEE Trans. Ind. Electron.,
62(9), pp. 5434–5445.

[CrossRef]
Yang,
Y.
,
Hua,
C.
, and
Guan,
X.
, 2014, “
Adaptive Fuzzy Finite-Time Coordination Control for Networked Nonlinear Bilateral Teleoperation System,” IEEE Trans. Fuzzy Syst.,
22(3), pp. 631–641.

[CrossRef]
Hwang,
C.-L.
,
Chiang,
C.-C.
, and
Yeh,
Y.-W.
, 2014, “
Adaptive Fuzzy Hierarchical Sliding-Mode Control for the Trajectory Tracking of Uncertain Underactuated Nonlinear Dynamic Systems,” IEEE Trans. Fuzzy Syst.,
22(2), pp. 286–299.

[CrossRef]
Tong,
S.
,
Wang,
T.
,
Li,
Y.
, and
Chen,
B.
, 2013, “
A Combined Backstepping and Stochastic Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control,” IEEE Trans. Fuzzy Syst.,
21(2), pp. 314–327.

[CrossRef]
Lakhekar,
G.
, and
Saundarmal,
V.
, 2013, “
Novel Adaptive Fuzzy Sliding Mode Controller for Depth Control of an Underwater Vehicles,” IEEE International Conference on Fuzzy Systems (FUZZ), pp. 1–7.

Das Sharma,
K.
,
Chatterjee,
A.
, and
Rakshit,
A.
, 2012, “
Lyapunov Hybrid Stable Adaptive Fuzzy Tracking Control Approach for Vision-Based Robot Navigation,” IEEE Trans. Instrum. Meas.,
61(7), pp. 1908–1914.

[CrossRef]
Procyk,
T.
, and
Mamdani,
E.
, 1979, “
A Linguistic Self-Organizing Process Controller,” Automatica,
15(1), pp. 15–30.

[CrossRef]
Gao,
Y.
,
Wang,
H.
, and
Liu,
Y.-J.
, 2015, “
Adaptive Fuzzy Control With Minimal Leaning Parameters for Electric Induction Motors,” Neurocomputing,
156, pp. 143–150.

[CrossRef]
Yang,
Y.
, and
Ren,
J.
, 2003, “
Adaptive Fuzzy Robust Tracking Controller Design via Small Gain Approach and Its Application,” IEEE Trans. Fuzzy Syst.,
11(6), pp. 783–795.

[CrossRef]
Yang,
Y.
, and
Zhou,
C.
, 2005, “
Adaptive Fuzzy h

_{∞} Stabilization for Strict-Feedback Canonical Nonlinear Systems via Backstepping and Small-Gain Approach,” IEEE Trans. Fuzzy Syst.,
13(1), pp. 104–114.

[CrossRef]
Li,
Y.
,
Tong,
S.
,
Liu,
Y.
, and
Li,
T.
, 2014, “
Adaptive Fuzzy Robust Output Feedback Control of Nonlinear Systems With Unknown Dead Zones Based on a Small-Gain Approach,” IEEE Trans. Fuzzy Syst.,
22(1), pp. 164–176.

[CrossRef]
Li,
Y.
,
Tong,
S.
,
Li,
T.
, and
Jing,
X.
, 2014, “
Adaptive Fuzzy Control of Uncertain Stochastic Nonlinear Systems With Unknown Dead Zone Using Small-Gain Approach,” Fuzzy Sets Syst.,
235, pp. 1–24.

[CrossRef]
Wu,
T.-S.
, and
Karkoub,
M.
, 2014. “
Fuzzy Adaptive Tracking Control Design for Nonlinear Systems With Output Delays,” Fuzzy Sets Syst.,
254, pp. 1–25.

[CrossRef]
Amrane,
A.
,
Louri,
M.
,
Larabi,
A.
, and
Hamzaoui,
A.
, 2013, “
A Fuzzy Model Reference Adaptive System Control for Induction Motor Drives,” 3rd International Conference on Systems and Control (ICSC), pp. 177–182.

Huek,
P.
, and
Cerman,
O.
, 2013, “
Fuzzy Model Reference Control With Adaptation of Input Fuzzy Sets,” Knowl. Based Syst.,
49, pp. 116–122.

[CrossRef]
Cerman,
O.
, 2013, “
Fuzzy Model Reference Control With Adaptation Mechanism,” Expert Syst. Appl.,
40(13), pp. 5181–5187.

[CrossRef]
Jasim,
I. F.
,
Plapper,
P. W.
, and
Voos,
H.
, 2015, “
Adaptive Sliding Mode Fuzzy Control for Unknown Robots With Arbitrarily-Switched Constraints,” Mechatronics,
30, pp. 174–186.

[CrossRef]
Do,
H. T.
,
Park,
H. G.
, and
Ahn,
K. K.
, 2014, “
Application of an Adaptive Fuzzy Sliding Mode Controller in Velocity Control of a Secondary Controlled Hydrostatic Transmission System,” Mechatronics,
24(8), pp. 1157–1165.

[CrossRef]
Saoudi,
K.
, and
Harmas,
M.
, 2014, “
Enhanced Design of an Indirect Adaptive Fuzzy Sliding Mode Power System Stabilizer for Multi-Machine Power Systems,” Int. J. Electr. Power Energy Syst.,
54, pp. 425–431.

[CrossRef]
Lian,
R.-J.
, 2014, “
Adaptive Self-Organizing Fuzzy Sliding-Mode Radial Basis-Function Neural-Network Controller for Robotic Systems,” IEEE Trans. Ind. Electron.,
61(3), pp. 1493–1503.

[CrossRef]
Lian,
R.-J.
, 2012, “
Design of an Enhanced Adaptive Self-Organizing Fuzzy Sliding-Mode Controller for Robotic Systems,” Expert Syst. Appl.,
39(1), pp. 1545–1554.

[CrossRef]
Lu,
Q.
, and
Mahfouf,
M.
, 2012, “
Multivariable Self-Organizing Fuzzy Logic Control Using Dynamic Performance Index and Linguistic Compensators,” Eng. Appl. Artif. Intell.,
25(8), pp. 1537–1547.

[CrossRef]
Zhou,
G.
, and
Birdwell,
J.
, 1994, “
Fuzzy Logic-Based PID Autotuner Design Using Simulated Annealing,” IEEE/IFAC Joint Symposium on Computer-Aided Control System Design, pp. 67–72.

Herrera,
F.
,
Lozano,
M.
, and
Verdegay,
J.
, 1995, “
Tuning Fuzzy Logic Controllers by Genetic Algorithms,” Int. J. Approximate Reasoning,
12(34), pp. 299–315.

[CrossRef]
Lin,
S.-C.
, and
Chen,
Y.-Y.
, 1995, “
On GA-Based Optimal Fuzzy Control,” IEEE International Conference on Evolutionary Computation, Vol.
2, pp. 846–851.

RenHou,
L.
, and
Yi,
Z.
, 1996, “
Fuzzy Logic Controller Based on Genetic Algorithms,” Fuzzy Sets Syst.,
83(1), pp. 1–10.

[CrossRef]
Chin,
T.
, and
Qi,
X.
, 1998, “
Genetic Algorithms for Learning the Rule Base of Fuzzy Logic Controller,” Fuzzy Sets Syst.,
97(1), pp. 1–7.

[CrossRef]
Martnez-Alfaro,
H.
, and
Gmez-Garca,
S.
, 1998, “
Mobile Robot Path Planning and Tracking Using Simulated Annealing and Fuzzy Logic Control,” Expert Syst. Appl.,
15(34), pp. 421–429.

[CrossRef]
Cui,
X.
,
Hardin,
T.
,
Ragade,
R.
, and
Elmaghraby,
A.
, 2004, “
A Swarm-Based Fuzzy Logic Control Mobile Sensor Network for Hazardous Contaminants Localization,” 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems, pp. 194–203.

Juang,
C.-F.
, and
Liou,
Y.-C.
, 2004, “
TSK-Type Recurrent Fuzzy Network Design by the Hybrid of Genetic Algorithm and Particle Swarm Optimization,” 2004 IEEE International Conference on Systems, Man and Cybernetics, Vol.
3, pp. 2314–2318.

Venayagamoorthy,
G.
, and
Doctor,
S.
, 2004, “
Navigation of Mobile Sensors Using PSO and Embedded PSO in a Fuzzy Logic Controller,” 39th IAS Annual Meeting in Industry Applications Conference, 2004, Conference Record of the 2004 IEEE, Vol.
2, pp. 1200–1206.

Bouallgue,
S.
,
Haggge,
J.
,
Ayadi,
M.
, and
Benrejeb,
M.
, 2012, “
PID-Type Fuzzy Logic Controller Tuning Based on Particle Swarm Optimization,” Eng. Appl. Artif. Intell.,
25(3), pp. 484–493.

[CrossRef]
Patel,
R.
, and
Kumar,
V.
, 2015, “
Artificial Neuro Fuzzy Logic PID Controller Based on BF-PSO Algorithm,” Procedia Comput. Sci.,
54, pp. 463–471.

[CrossRef]
Sabzi,
H. Z.
,
Humberson,
D.
,
Abudu,
S.
, and
King,
J. P.
, 2015, “
Optimization of Adaptive Fuzzy Logic Controller Using Novel Combined Evolutionary Algorithms, and Its Application in Diez Lagos Flood Controlling System, Southern New Mexico,” Expert Syst. Appl.,
43, pp. 154–164.

[CrossRef]
Hajebi,
P.
, and
AlModarresi,
S.
, 2013, “
Online Adaptive Fuzzy Logic Controller Using Genetic Algorithm and Neural Network for Networked Control Systems,” 15th International Conference on Advanced Communication Technology (ICACT), pp. 88–98.

Khan,
M.
,
Choudhry,
M.
, and
Zeeshan,
M.
, 2013, “
An Efficient Design of Genetic Algorithm Based Adaptive Fuzzy Logic Controller for Multivariable Control of HVAC Systems,” 5th Computer Science and Electronic Engineering Conference (CEEC), pp. 1–6.

Djoewahir,
A.
,
Tanaka,
K.
, and
Nakashima,
S.
, 2013, “
Adaptive PSO-Based Self-Tuning PID Controller for Ultrasonic Motor,” Int. J. Innovative Comput. Inf. Control,
9(10), pp. 3903–3914.

Chiou,
J.-S.
,
Tsai,
S.-H.
, and
Liu,
M.-T.
, 2012, “
A PSO-Based Adaptive Fuzzy PID-Controllers,” Simulation Modell. Pract. Theory,
26, pp. 49–59.

[CrossRef]
Navale,
R. L.
, and
Nelson,
R. M.
, 2012, “
Use of Genetic Algorithms and Evolutionary Strategies to Develop an Adaptive Fuzzy Logic Controller for a Cooling Coil Comparison of the AFLC With a Standard PID Controller,” Energy Build.,
45, pp. 169–180.

[CrossRef]
Bevrani,
H.
,
Habibi,
F.
,
Babahajyani,
P.
,
Watanabe,
M.
, and
Mitani,
Y.
, 2012, “
Intelligent Frequency Control in an ac Microgrid: Online PSO-Based Fuzzy Tuning Approach,” IEEE Trans. Smart Grid,
3(4), pp. 1935–1944.

[CrossRef]
Sahed,
O.
,
Kara,
K.
, and
Hadjili,
M.
, 2012, “
PSO-Based Fuzzy Predictive Control,” IECON 2012—38th Annual Conference on IEEE Industrial Electronics Society, pp. 2416–2421.

Navale,
R. L.
, and
Nelson,
R. M.
, 2010, “
Use of Evolutionary Strategies to Develop an Adaptive Fuzzy Logic Controller for a Cooling Coil,” Energy Build.,
42(11), pp. 2213–2218.

[CrossRef]
Navale,
R. L.
, and
Nelson,
R. M.
, 2010, “
Use of Genetic Algorithms to Develop an Adaptive Fuzzy Logic Controller for a Cooling Coil,” Energy Build.,
42(5), pp. 708–716.

[CrossRef]
Liu,
B.-D.
,
Chen,
C.-Y.
, and
Tsao,
J.-Y.
, 2001, “
Design of Adaptive Fuzzy Logic Controller Based on Linguistic-Hedge Concepts and Genetic Algorithms,” IEEE Trans. Syst. Man Cybern., Part B,
31(1), pp. 32–53.

[CrossRef]
Khan,
M. W.
,
Choudhry,
M. A.
,
Zeeshan,
M.
, and
Ali,
A.
, 2015, “
Adaptive Fuzzy Multivariable Controller Design Based on Genetic Algorithm for an Air Handling Unit,” Energy,
81, pp. 477–488.

[CrossRef]
Hashim,
H. A.
,
El-Ferik,
S.
, and
Abido,
M. A.
, 2015, “
A Fuzzy Logic Feedback Filter Design Tuned With PSO for Adaptive Controller,” Expert Syst. Appl.,
42(23), pp. 9077–9085.

[CrossRef]
Hosovsky,
A.
,
Michal,
P.
,
Tothova,
M.
, and
Biros,
O.
, 2014, “
Fuzzy Adaptive Control for Pneumatic Muscle Actuator With Simulated Annealing Tuning,” IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 205–209.

Jain,
A. K.
, and
Dubes,
R. C.
, 1988, Algorithms for Clustering Data,
Prentice-Hall,
Upper Saddle River, NJ.

Bezdek,
J.
, 1981, “
Advanced Applications in Pattern Recognition,” Pattern Recognition With Fuzzy Objective Function Algorithms,
Plenum Press,
New York.

Bezdek,
J. C.
,
Ehrlich,
R.
, and
Full,
W.
, 1984, “
FCM: The Fuzzy C-means Clustering Algorithm,” Comput. Geosci.,
10(2), pp. 191–203.

[CrossRef]
Parsopoulos,
K. E.
, and
Vrahatis,
M. N.
, 2002, “
Recent Approaches to Global Optimization Problems Through Particle Swarm Optimization,” Nat. Comput.,
1(2–3), pp. 235–306.

[CrossRef]
Deb,
K.
, 2001, Multi-Objective Optimization Using Evolutionary Algorithms, Vol.
16,
Wiley,
Hoboken, NJ.

Corrêa,
M. V.
,
Aguirre,
L.
, and
Saldanha,
R. R.
, 2002, “
Using Steady-State Prior Knowledge to Constrain Parameter Estimates in Nonlinear System Identification,” IEEE Trans. Circuits Syst. I,
49(9), pp. 1376–1381.

[CrossRef]
Aguirre,
L.
,
Barroso,
M.
,
Saldanha,
R.
, and
Mendes,
E.
, 2004, “
Imposing Steady-State Performance on Identified Nonlinear Polynomial Models by Means of Constrained Parameter Estimation,” IEEE Proc. Control Theory Appl.,
151(2), pp. 174–179.

[CrossRef]
Wei,
Y.
,
Qiu,
J.
,
Karimi,
H. R.
, and
Wang,
M.
, 2014, “
Model Reduction for Continuous-Time Markovian Jump Systems With Incomplete Statistics of Mode Information,” Int. J. Syst. Sci.,
45(7), pp. 1496–1507.

[CrossRef]