Last issue
2016 (vol. 26) - Number 4


Andrzej Ruszewski:

Practical and asymptotic stability of fractional discrete-time scalar systems described by a new model



D. Krokavec, A. Filasova, P. Liscinsky:

On fault tolerant control structures incorporating fault estimation



Sundarapandian Vaidyanathan:

Hyperchaos, adaptive control and synchronization of a novel 4-D  hyperchaotic system with two quadratic nonlinearities



H. Górecki, M. Zaczyk:

Analytic solutions of transcendental equations with application to automatics



F. Mnif:

Predictor-based stabilization for chained form systems with input time delay



S. Daniar, R. Aazami, M. Shiroei:

Multivariable predictive control considering time delay for load-frequency control in multi-area power systems



T. Kaczorek:

Analysis and comparison of the stability of discrete-time and continuous-time linear systems



M. Rachik, M. Lhous:

An observer-based control of linear systems with uncertain parameters



L. Malinski:

Identification of stable elementary bilinear time-series model



V.V. Huynh:

New observer-based control design for mismatched uncertain systems with time-delay




ACS Abstract:

2015 (Volume 25)
Number 1
1.

Generalized control with compact support for systems with distributed parameters

2.

Navigation of autonomous mobile robot using different activation functions of wavelet neural network

3.

Design of inverse kinematics algorithms: extended Jacobian approximation of the dynamically consistent Jacobian inverse

4.

Application of descriptor approaches in design of PD observer-based actuator fault estimation

5.

Dynamic model of nuclear power plant steam turbine

6.

The efficiency of detecting the failures and troubleshooting while applying technical diagnostics for multi-computer systems

7.

Equitable and semi-equitable coloring of cubic graphs and its application in batch scheduling

8.

Following 3D paths by a manipulator

9.

Analysis, adaptive control and synchronization of a novel 4-D hyperchaotic hyperjerk system and its SPICE implementation



Generalized control with compact support for systems with distributed parameters

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As.Zh. Khurshudyan
(Yerevan State University, Armenia)

We propose a generalization of the Butkovskiy's method of control with compact support allowing to derive exact controllability conditions and construct explicit solutions in control problems for systems with distributed parameters. The idea is the introduction of a new state function which is supported in considered bounded time interval and coincides with the original one therein. By means of techniques of the distributions theory the problem is reduced to an interpolation problem for Fourier image of unknown function or to corresponding system of integral equalities. Treating it as infinite dimensional problem of moments, its L_1, L_2 and L_infinity - optimal solutions are constructed explicitly. The technique is explained for semilinear wave equation with distributed and boundary controls. Particular cases are discussed.

keywords: distributed system, controls with compact support, problem of moments, L_1, L_2 and L_infinity - optimal controls, distributions

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Navigation of autonomous mobile robot using different activation functions of wavelet neural network

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P.K. Panigrahi
(Padmanava College of Engineering, Rourkela, India)
S. Ghosh
(National Institute of Technology, Dargapur, India)
D.R. Parhi
(National Institute of Technology, Rourkela, India)

An autonomous mobile robot is a robot which can move and act autonomously without the help of human assistance. Navigation problem of mobile robot in unknown environment is an interesting research area. This is a problem of deducing a path for the robot from its initial position to a given goal position without collision with the obstacles. Different methods such as fuzzy logic, neural networks etc. are used to find collision free path for mobile robot. This paper examines behavior of path planning of mobile robot using three activation functions of wavelet neural network i.e. Mexican Hat, Gaussian and Morlet wavelet functions by MATLAB. The simulation result shows that WNN has faster learning speed with respect to traditional artificial neural network.

keywords: autonomous mobile robot, activation functions, obstacle avoidance, path planning, wavelet neural network

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Design of inverse kinematics algorithms: extended Jacobian approximation of the dynamically consistent Jacobian inverse

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J. Ratajczak
(Wroclaw University of Technology, Poland)

The paper presents the approximation problem of the inverse kinematics algorithms for the redundant manipulators. We introduce the approximation of the dynamically consistent Jacobian by the extended Jacobian. In order to do that, we formulate  the approximation problem and suitably defined approximation error. By the minimization of this error over a certain region we can design an extended Jacobian inverse which will be close to the dynamically consistent Jacobian inverse. To solve the approximation problem we use the Cholesky decomposition and the Ritz method. The computational example illustrates the theory.

keywords: redundant manipulator, inverse kinematics, Jacobian, approximation

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Application of descriptor approaches in design of PD observer-based actuator fault estimation

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A. Filasova, D. Krokavec, V. Serbak
(Technical University of Kosice, Slovakia)

Stability analysis and design for continuous-time proportional plus derivative state observers is presented in the paper with the goal
to establish the system state and actuator fault estimation. Design problem accounts a descriptor principle formulation for non-descriptor systems, guaranteing asymptotic convergence both the state observer error as fault estimate error. Presented in the sense of the second Lyapunov method, an associated structure of linear matrix inequalities is outlined to possess parameter existence of the proposed estimator structure. The obtained design conditions are verified by simulation using a numerical illustrative example.

keywords: PD observers, actuator fault estimation, descriptor system observation, convex optimization, linear matrix inequalities

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Dynamic model of nuclear power plant steam turbine

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K. Kulkowski, A. Kobylarz, M. Grochowski, K. Duzinkiewicz
(Gdansk University of Technology, Poland)

The paper presents the dynamic multivariable model of Nuclear Power Plant steam turbine. Nature of the processes occurring in a steam turbine causes a task of modeling it very difficult, especially when this model is intended to be used for on-line optimal process control (model based) over wide range of operating conditions caused by changing power demand. Particular property of developed model is that it enables calculations evaluated directly from the input  to the output, including pressure drop at the stages. As the input, model takes opening degree of valve and steam properties: mass flow and pressure. Moreover, it allows access to many internal variables (besides input and output) describing processes within the turbine. The model is compared with the static steam turbine model and then verified by using archive data gained from researches within previous Polish Nuclear Power Programme. Presented case study concerns the WWER-440 steam turbine that was supposed to be used in Zarnowiec. Simulation carried out shows compliance of the static and dynamic models with the benchmark data, in a steady state conditions. Dynamic model also shows good behavior over the transient conditions.

keywords: nuclear power plant, steam turbine, modeling, control

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The efficiency of detecting the failures and troubleshooting while applying technical diagnostics for multi-computer systems

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K.Z. Ye, H.A. Kyaw, E.M. Portnov, A.M. Bain
(National Research University of Electronic Technology, Moscow, Russia)
P. Vasant
(Universiti Teknologi PETRONAS, Malaysia)

This paper presents techniques which base on the concept of flows thinning together with the identification techniques. These methods are proposed  to determine the expected number of failures to assess the efficiency of technical diagnostics of instruments. Additionally, this research focuses on the improvement of multi-machine troubleshooting systems, based on the `AND-OR' graphs. Respective algorithms are presented. The majority principle uses the input information to check the correctness of the decision regarding identification of faulty machines. In this paper we base on the complete testing algorithm for elements of multi-computer complexes searching by criteria of failed element.

keywords: technical diagnostics, fault, identification, `AND-OR' graph, efficiency, control devices, multi-machine, troubleshooting, majority principle

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Equitable and semi-equitable coloring of cubic graphs and its application in batch scheduling

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H. Furmanczyk, M. Kubale
(University of Gdansk, Poland)

In the paper we consider the problems of equitable and semi-equitable coloring of vertices of cubic graphs. We show that in contrast to the equitable coloring, which is easy, the problem of semi-equitable coloring is NP-complete within a broad spectrum of graph parameters. This affects the complexity of batch scheduling of unit-length jobs with cubic incompatibility graph on three uniform processors to minimize the makespan.

keywords: batch scheduling, equitable coloring, semi-equitable coloring, cubic graph

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Following 3D paths by a manipulator

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A. Mazur, J. Plaskonka, M. Kaczmarek
(Wroclaw University of Technology, Poland)

In the paper a description of a manipulator relative to a desired three-dimensional path was presented. The path is parameterized orthogonally to the Serret-Frenet frame which is moving along the curve. For the path two different time parameterizations were chosen. The control law for the RTR manipulator which ensures realization of the task was specified. Theoretical considerations were illustrated by simulation results.

keywords: path following, Serret-Frenet parametrization, orthogonal projection

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Analysis, adaptive control and synchronization of a novel 4-D hyperchaotic hyperjerk system and its SPICE implementation

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V. Sundarapandian, K. Madhavan
(Vel Tech. University, Tamilnadu, India)
C. Volos
(Aristotle University of Thessaloniki, Greece)
V.-T. Pham
(Hanoi University of Science and Technology, Vietnam)

A hyperjerk system is a dynamical system, which is modelled by an nth order ordinary differential equation with n ≥ 4 describing the time evolution of a single scalar variable. Equivalently, using a chain of integrators, a hyperjerk system can be modelled as a system of n first order ordinary differential equations with n ≥ 4. In this research work, a  4-D novel hyperchaotic  hyperjerk system  has been proposed, and its qualitative properties have been detailed. The Lyapunov exponents of the novel hyperjerk system are obtained as  L1 = 0.1448, L2= 0.0328, L3= 0 and L4 = -1.1294.  The Kaplan-Yorke dimension of the novel hyperjerk system is obtained as DKY = 3.1573. Next, an adaptive backstepping controller is designed to stabilize the novel hyperjerk chaotic system with three unknown parameters. Moreover, an adaptive backstepping controller is designed to achieve global hyperchaos synchronization of the identical novel hyperjerk   systems with three unknown parameters.   Finally, an electronic circuit realization of the novel jerk chaotic system using SPICE is presented in detail to confirm the feasibility of the theoretical hyperjerk model.

keywords: hyperchaos, hyperjerk system, adaptive control, backstepping control, synchronization

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