Passivity based on synchronization of T-S fuzzy energy resources system
Authors
V. Vembarasan
- Assistant Professor, Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam- 603103, Chengalpattu, Tamil Nadu, India.
Abstract
This paper investigates the use of Takagi-Sugeno fuzzy and passive control techniques to synchronize a four-dimensional energy resource system. A passivity-based fuzzy controller is designed to synchronize the two identical four-dimensional energy resource systems using an effective Lyapunov function and linear matrix inequality approach. Finally, computational and simulation results are presented to show the benefits of the proposed findings.
Share and Cite
ISRP Style
V. Vembarasan, Passivity based on synchronization of T-S fuzzy energy resources system, Journal of Mathematics and Computer Science, 25 (2022), no. 3, 269--283
AMA Style
Vembarasan V., Passivity based on synchronization of T-S fuzzy energy resources system. J Math Comput SCI-JM. (2022); 25(3):269--283
Chicago/Turabian Style
Vembarasan, V.. "Passivity based on synchronization of T-S fuzzy energy resources system." Journal of Mathematics and Computer Science, 25, no. 3 (2022): 269--283
Keywords
- Synchronization
- energy resource system
- passivity
- T-S fuzzy control
- linear matrix inequality
MSC
References
-
[1]
O. Ababneh, Adaptive synchronization and anti-synchronization of fractional order chaotic optical systems with uncertain parameters, J. Math. Computer Sci., 23 (2021), 302--314
-
[2]
C. K. Ahn, A passivity approach to synchronization for time-delayed chaotic systems, Mod. Phys. Lett. B, 23 (2009), 3531--3541
-
[3]
C. K. Ahn, Passive learning and input-to-state stability of switched Hopfield neural networks with time-delay, Inf. Sci., 180 (2010), 4582--4594
-
[4]
A. Arenas, A. D. Guilera, J. Kurths, Y. Moreno, C. Zhou, Synchronization in complex networks, Phys. Rep., 469 (2008), 93--153
-
[5]
W. Assawinchaichote, S. Junhom, $H_\infty$ fuzzy controller design for HIV/AIDS infection system with dual drug dosages via an LMI approach, Int. J. Energy, 5 (2011), 27--33
-
[6]
S. Bououden, M. Chadli, S. Filali, A. E. Hajjaji, Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach, Renew. Energy, 37 (2012), 434--439
-
[7]
S. Boyd, L. E. Ghaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in Systems and Control Theory, SIAM, Philadelphia (1994)
-
[8]
G. Calcev, R. Gorez, M. D. Neyer, Passivity approach to fuzzy control systems, Automatica, 34 (1998), 339--344
-
[9]
C. K. Chen, J. J. Yan, T. L. Liao, Sliding mode control for synchronization of Rossler systems with time delays and its application to secure communication, Phys. Scr., 76 (2007), 12 pages
-
[10]
T. S. Chiang, P. Liu, Robust output tracking control for discrete-time nonlinear systems with time-varying delay: Virtual fuzzy model LMI-based approach, Expert Syst. Appl., 39 (2012), 8239--8247
-
[11]
L. O. Chua, Passivity and complexity, IEEE Trans. Circuits Syst. I. Fundam. Theory Appl., 46 (1999), 71--82
-
[12]
G. Feng, A survey on analysis and design of model-based fuzzy control systems, IEEE Trans. Fuzzy Syst., 14 (2006), 676--697
-
[13]
J. M. Gonzalez-Miranda, Synchronization and control of chaos: an introduction for scientists and engineers, Imperial College Press, London (2004)
-
[14]
K. Gu, V. L. Kharitonov, J. Chen, Stability of Time-Delay Systems, Birkhäuser, Boston (2003)
-
[15]
D. J. Hill, P. J. Moylan, Stability results for nonlinear feedback systems, Automatica, 13 (1977), 377--382
-
[16]
C. F. Huang, K. H. Cheng, J. J. Yan, Robust chaos synchronization of four-dimensional energy resource systems subject to unmatched uncertainties, Commun. Nonlinear Sci. Numer. Simul., 14 (2009), 2784--2792
-
[17]
E. Kamal, A. Aitouche, R. Ghorbani, M. Bayart, Robust nonlinear control of wind energy conversion systems, Int. J. Elec. Power Energy Syst., 44 (2013), 202--209
-
[18]
M. A. Khan, M. Abid, N. Ahmed, A. Wadood, H. Park, Nonlinear control design of a half-car model using feedback linearization and an LQR controller, Appl. Sci., 10 (2020), 17 pages
-
[19]
D. Khiar, J. Lauber, T. Floquet, G. Colin, T. M. Guerra, Y. Chamaillard, Robust Takagi-Sugeno fuzzy control of a spark ignition engine, Control Eng. Pract., 15 (2007), 1446--1456
-
[20]
K. Y. Lian, T. S. Chiang, C. S. Chiu, P. Liu, Synthesis of fuzzy model-based designs to synchronization and secure communications for chaotic systems, IEEE Trans. Fuzzy Syst., 31 (2001), 66--83
-
[21]
K. Y. Lian, C. S. Chiu, T. S. Chiang, P. Liu, LMI-based fuzzy chaotic synchronization and communications, IEEE Trans. Fuzzy Syst., 9 (2001), 539--553
-
[22]
K. Y. Lian, P. Liu, T. C. Wu, W. C. Lin, Chaos control using fuzzy model-based methods, Int. J. Bifurcat. Chaos, 12 (2002), 1827--1841
-
[23]
P. Liu, W. T. Yang, C. E. Yang, Robust observer-based output feedback control for fuzzy descriptor systems, Expert Syst. Appl., 40 (2013), 4503--4510
-
[24]
R. Lozano, B. Brogliato, O. Egeland, B. Maschke, Dissipative Systems Analysis and Control, Springer, New York (2000)
-
[25]
J. L. M. Machuca, R. M. Guerra, R. A. Lopez, C. A. Ibanez, A chaotic system in synchronization and secure communications, Commun. Nonlinear Sci. Numer. Simul., 17 (2012), 1706--1713
-
[26]
M. Manikandan, K. Ratnavelu, P. Balasubramaniam, S. H. Ong, Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays, Iran. J. Fuzzy Syst., 18 (2021), 159--173
-
[27]
M. Manikandan, K. Ratnavelu, P. Balasubramaniam, S. H. Ong, Synchronization of Cohen-Grossberg fuzzy cellular neural networks with time-varying delays, Int. J. Nonlinear Sci. Numer. Simul., 22 (2021), 45--58
-
[28]
E. Onieva, J. Godoy, J. Villagra, V. Milanes, J. Perez, On-line learning of a fuzzy controller for a precise vehicle cruise control system, Expert Syst. Appl., 40 (2013), 1046--1053
-
[29]
A. Othman Almatroud, O. Ababneh, M. Mossa Al-sawalha, Modify adaptive combined synchronization of fractional order chaotic systems with fully unknown parameters, J. Math. Computer Sci., 21 (2020), 99--112
-
[30]
L. M. Pecora, T. L. Carroll, Synchronization in chaotic systems, Phys. Rev. Lett., 64 (1990), 821--825
-
[31]
R. E. Precup, H. Hellendoorn, A survey on industrial applications of fuzzy control, Comput. Ind., 62 (2011), 213--226
-
[32]
R. E. Precup, M. L. Tomescu, M. B. Radac, E. M. Petriu, S. Preitl, C. A. Dragos, Iterative performance improvement of fuzzy control systems for three tank systems, Expert Syst. Appl., 39 (2012), 8288--8299
-
[33]
X. Shi, Z. Wang, Robust chaos synchronization of four-dimensional energy resource system via adaptive feedback control, Nonlinear Dynam., 60 (2010), 631--637
-
[34]
M. Sun, Q. Jia, L. Tian, A new four-dimensional energy resources system and its linear feedback control, Chaos Solitons Fract., 39 (2009), 101--108
-
[35]
M. Sun, L. Tian, Y. Fu, An energy resources demand-supply system and its dynamical analysis, Chaos Solitons Fract., 32 (2007), 168--180
-
[36]
M. Sun, L. Tian, Q. Jia, Adaptive control and synchronization of a four-dimensional energy resources system with unknown parameters, Chaos Solitons Fract., 39 (2009), 1943--1949
-
[37]
M. Sun, L. Tian, J. Yin, Hopf bifurcation analysis of the energy resource chaotic system, Int. J. Nonlinear Sci., 1 (2006), 49--53
-
[38]
M. Sun, L. Tian, C. Zeng, The energy resources system with parametric perturbations and its hyperchaos control, Nonlinear Anal. Real World Appl., 10 (2009), 2620--2626
-
[39]
M. Sun, X. Wang, Y. Chen, L. Tian, Energy resources demand-supply system analysis and empirical research based on non-linear approach, Energy, 36 (2011), 5460--5465
-
[40]
Y. Sun, Z. Wei, G. Sun, P. Ju, S. Huang, Robust stabilization and synchronization of nonlinear energy resource system via fuzzy control approach, Int. J. Fuzzy Syst., 14 (2012), 337--343
-
[41]
Y. Sun, Z. Wei, G. Sun, P. Ju, Y. Wei, Stochastic synchronization of nonlinear energy resource system via partial feedback control, Nonlinear Dyn., 70 (2012), 2269--2278
-
[42]
T. Takagi, M. Sugeno, Fuzzy identification of systems and its applications to modelling and control, IEEE Trans. Syst. Man Cybern. Syst., 15 (1995), 116--132
-
[43]
K. Tanaka, M. Sano, A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck-trailer, IEEE Trans. Fuzzy Syst., 2 (1994), 119--134
-
[44]
T. Tanaka, H. O. Wang, Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, Wiley, New York (2001)
-
[45]
H. D. Tuan, P. Apkarian, T. Narikiyo, Y. Yamamoto, Parameterized linear matrix inequality techniques in fuzzy control system design, IEEE Trans. Fuzzy Syst., 9 (2001), 324--332
-
[46]
V. Vembarasan, P. Balasubramaniam, Chaotic synchronization of Rikitake system based on T-S fuzzy control techniques, Nonlinear Dynam., 74 (2013), 31--44
-
[47]
Z. Wang, Chaos synchronization of an energy resource system based on linear control, Nonlinear Anal. Real World Appl., 11 (2010), 3336--3343
-
[48]
Z. Wang, X. Shi, Synchronization of a four-dimensional energy resource system via linear control, Commun. Nonlinear Sci. Numer. Simul., 16 (2011), 463--474
-
[49]
Y. Wen, Passive equivalence of chaos in Lorenz system, IEEE Trans. Circuits Syst. I. Fundam. Theory Appl., 46 (1999), 876--878
-
[50]
S. J. Wu, Affine TS-model-based fuzzy regulating/servo control desig, Fuzzy Sets Syst., 158 (2007), 2288--2305
-
[51]
X. J. Wu, J. S. Liu, G. R. Chen, Chaos synchronization of Rikitake chaotic attractor using the passive control technique, Nonlinear Dyn., 53 (2008), 45--53
-
[52]
K. Wu, C. Ren, Control and stability analysis of double time-delay active suspension based on particle swarm optimization, Shock Vib., 216 (2010), 1605--1613
-
[53]
A. A. Zaher, A. A. Rezq, On the design of chaos-based secure communication systems, Commun. Nonlinear Sci. Numer. Simul., 16 (2011), 3721--3737
-
[54]
X. Zhou, B. Kong, H. Ding, Synchronization and anti-synchronization of a new hyperchaotic Lu system with uncertain parameters via the passive control technique, Phys. Scr., 85 (2012), 11 pages