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2017 (vol. 27) - Number 4


M. Kaczmarek, W. Domski, A. Mazur:

Position-force control of mobile manipulator - nonadaptive and adaptive case



Zhong Cao, Wenjing Zhao, Xiaorong Hou:

Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems



J. Duda:

A Lyapunov functional for a system with both lumped and distributed delay



Sundarapandian Vaidyanathan, Aceng Sambas, Mustafa Mamat, Mada Sanjaya WS:

A new three-dimensional chaotic system with a hidden attractor,  circuit design and application in wireless mobile robot



J. Ratajczak, K. Tcho˝:

On dynamically consistent Jacobian inverse for non-holonomic robotic systems



D. Krokavec, A. Filasova:

Stabilization of discrete-time LTI positive systems



P. Tatjewski:

Offset-free nonlinear Model Predictive Control with state-space process models




ACS Abstract:

2017 (Volume 27)
Number 3
1.

Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making

2.

An interval observer design for uncertain nonlinear systems
based on the T-S fuzzy model

3.

A new 3-D jerk chaotic system with two cubic nonlinearities\\ and its adaptive backstepping control

4.

Relationship between the observability of standard and fractional linear systems

5.

Stabilization of a certain class of fuzzy control systems with uncertainties



Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making

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Guiwu Wei, Mao Lu
(Sichuan Normal University, P.R. China)

In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation, we have developed some Hamacher aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.

keywords: multiple attribute decision making, dual Pythagorean hesitant fuzzy values, dual hesitant Pythagorean fuzzy Hamacher hybrid average operator, dual hesitant Pythagorean fuzzy Hamacher hybrid geometric operator, power aggregation operators

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An interval observer design for uncertain nonlinear systems
based on the T-S fuzzy model

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Y. Menasria, H. Bouras, N. Debbache
(Badji Mokhtar University, Algeria)

A new approach to build an interval observer for nonlinear uncertain systems is presented in this paper. Nonlinear systems modeled in the Takagi-Sugeno (T-S) form are studied.  A T-S proportional observer is first issued by pole-placement and LMI tools. Secondly, time-varying change of coordinates for each dynamic state estimation error is used to design an interval observer. The system state bounds are then directly deduced.

keywords: T-S model, T-S proportional observer, interval observer, time-varying systems

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A new 3-D jerk chaotic system with two cubic nonlinearities\\ and its adaptive backstepping control

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Sundarapandian Vaidyanathan
( Vel Tech University, India)

This paper presents a new seven-term 3-D jerk chaotic system with two cubic nonlinearities. The phase portraits of the novel jerk chaotic system are displayed and the qualitative properties of the jerk system are described. The novel jerk chaotic system has a unique equilibrium at the origin, which is a saddle-focus and unstable. The Lyapunov exponents of the novel jerk chaotic system are obtained as L_1 = 0.2974, L_2 = 0 and L_3 = -3.8974. Since the sum of the Lyapunov exponents of the jerk chaotic system is negative, we conclude that the chaotic system is dissipative. The Kaplan-Yorke dimension of the new jerk chaotic system is found as D_KY = 2.0763. Next, an adaptive backstepping controller is designed to globally stabilize the new jerk chaotic system with unknown parameters. Moreover, an adaptive backstepping controller is also designed to achieve global chaos synchronization of the identical jerk chaotic systems with unknown parameters. The backstepping control method is a recursive procedure that links the choice of a Lyapunov function with the design of a controller and guarantees global asymptotic stability of strict feedback systems. MATLAB simulations are shown to illustrate all the main results derived in this work.

keywords: chaos, chaotic systems, jerk systems, chaos control, adaptive control, backstepping control, synchronization

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Relationship between the observability of standard and fractional linear systems

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T. Kaczorek
(Bialystok University of Technology, Poland)

The relationship between the observability of standard and fractional discrete-time and continuous-time linear systems are addressed. It is shown that the fractional discrete-time and continuous-time linear systems are observable if and only if the standard discrete-time and continuous-time linear systems are observable.

keywords: fractional, standard, linear, discrete-time, continuous-time, system, observability

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Stabilization of a certain class of fuzzy control systems with uncertainties

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N.H. Taieb, M.A. Hammami
(University of Sfax, Tunisia)
F. Delmotte
(University of Artois, France)

In this paper, we investigate the global uniform practical exponential stability for a class of uncertain Takagi-Sugeno fuzzy systems. The uncertainties are supposed uniformly to be bounded by some known integrable functions to obtain an exponential convergence toward a neighborhood of the origin. Therefore, we use common quadratic Lyapunov function (CQLF) and parallel distributed compensation (PDC) controller techniques to show the global uniform practical exponential stability of the closed-loop system. Numeric simulations are given to validate the proposed approach

keywords: Takagi-Sugeno fuzzy systems, PDC controller, global uniform practical exponential stability, Lyapunov stability, parametric uncertainty

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