2018 (vol. 28) - Number 1

*I. Duleba, I. Karcz-Duleba:*

A comparison of methods solving repeatable inverse kinematics for robot manipulators

*A. Niederliński:*

A new approach for modelling uncertainty in expert systems knowledge bases

*T.T. Tuan, L.D. Tufa, M.I.A. Mutalib, N.M. Ramli :*

Optimal operation of a process by integrating dynamic economic optimization and model predictive control formulated with empirical model

*M. Kaleta:*

Network winner determination problem

*A. Kowalewski:*

Extremal problems for parabolic systems with time-varying lags

*T. Rybus, K. Seweryn, J.Z. S±siadek:*

Application of predictive control for manipulator mounted on a satellite

*T. Kaczorek:*

Reachability and observability of positive discrete-time linear systems with integer positive and negative powers of the state Frobenius matrices

*G. Grassi, A. Ouannas, V-T. Pham:*

A general unified approach to chaos synchronization in~continuous-time systems (with or without equilibrium points) as well as in discrete-time systems

*D. Pazderski:*

A robust smooth controller for a unicycle-like robot

ACS Abstract:

**2010 (Volume 20)**

Number 3

**Observer state feedback control of discrete-time systems with state equality constraints**

D. Krokavec(Technical University of Kosice, Kosice, Slovak Republic) | A. Filasova(Technical University of Kosice, Kosice, Slovak Republic) |

**keywords:** equality constraints, eigenstructure, assignment, state feedback

**Computation of positive realization of MIMO hybrid linear systems in the form of second Fornasini-Marchesini model**

T. Kaczorek (Bialystok Technical University, Bialystok, Poland) | L. Sajewski(Bialystok Technical University, Bialystok, Poland) |

**keywords:** hybrid, 2D system, positive, realization, existence, computation

**Numerical simulation of feedback controlled fluid-induced instabilities in rotor system supported by hydrodynamic bearings**

P. Ferfecki (Center of Advanced Innovation Technologies, SIMD, VSB-TUO, Ostrava, Czech Republic) | R. Sikora, Z. Poruba(Department of Mechanics, VSB-TUO, Ostrava, Czech Republic) |

**keywords:** rotor system, hydrodynamic bearing instability, kinematic excitation

**Robust output feedback Model Predictive Control design**

V. Vesely (Slovak University of Technology, Bratislava, Slovak Republic) | D. Rosinova(Slovak University of Technology, Bratislava, Slovak Republic) |

**keywords:** model predictive control, robust control, parameter dependent quadratic stability, Lyapunov function, polytopic system, decentralized control

**Feedback control of three-Level PWM rectifier: Application to the stabilization of DC Voltages of five-level NPC active power filter**

T. Abdelkrim, K. Benamrane(Applied Research Unit on Renewable Energies, Industrial Zone, Ghardaia, Algeria) | E.M. Berkouk(Polytechnic National School, Algiers, Algeria) | T. Benslimane(University of Msila, Algeria) |

**keywords:** active power filter, NPC multilevel inverter, feedback control, PWM current rectifier, clamping bridge filter

Decomposition of the pairs (A,B) and (A,C) of positive discrete-time linear systems

T. Kaczorek(Bialystok Technical University, Bialystok, Poland) |

A new test for checking the reachability (observability) of positive discrete-time linear systems is proposed. Conditions are established under which the unreachable pair (*A*,*B*) and the unobservable pair (*A*,*C*) of positive discrete-time system can be decomposed into reachable and unreachable parts and observable and unobservable parts, respectively. It is shown that the transfer matrix of the positive system is equal to the transfer matrix of its reachable (observable) part.

**keywords:** decomposition, positive linear, discrete-time, reachability, observability

**Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniques**

R.N. Dash (National Institute of Technology, Rourkela, India) | B. Subudhi(National Institute of Technology, Rourkela, India) |

**keywords:** inter-turn short circuit fault, phase shifts, adaptive neural fuzzy inference systems (ANFISs), neural network, induction motor

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