2021 (vol. 31) - Number 3

*Vanya R. Barseghyan:*

The problem of control of rod heating process with nonseparated conditions at intermediate moments of time

*Khadidja Bentata , Ahmed Mohammedi, Tarak Benslimane:*

Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition

*Jakub Musial, Krzysztof Stebel and Jacek Czeczot:*

Self-improving Q-learning based controller for a class of dynamical processes

*Ramesh Devarapalli and Vikash Kumar:*

Power system oscillation damping controller design: a novel approach of integrated HHO-PSO algorithm

*T. Kaczorek:*

Poles and zeros assignment by state feedbacks in positive linear systems

*Saule Sh. Kazhikenova and Sagyndyk N. Shaltakov, Bekbolat R. Nussupbekov:*

Difference melt model

*R. Almeida and N. Martins, E. Girejko and A.B. Malinowska, L. Machado:*

Evacuation by leader-follower model with bounded confidence and predictive mechanisms

*B. Zhao and R. Zhang, Y. Xing:*

Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information

*Stefan Mititelu, Savin Treanta:*

Efficiency in vector ratio variational control problems involving geodesic quasiinvex multiple integral functionals

*D.K. Dash and P.K. Sadhu, B. Subudhi:*

Spider monkey optimization (SMO) – lattice Levenberg–Marquardt recursive least squares based grid synchronization control scheme for a three-phase PV system

*Suresh Rasappan and K.A. Niranjan Kumar:*

Dynamics, control, stability, diffusion and synchronization of modified chaotic colpitts oscillator

ACS Abstract:

**1997 (Volume 6)**

Number 1/2

**A maximum entropy algorithm with parameters for solving minimax problem**

Li-Wei Zhang and Huan-Wen Tang(Dalian University of Technology, China) |

*p*has the same optimum which is associated with the minimax problem. A maximum entropy algorithm with parameters is given and its properties are discussed. It is also proved that the optimum of a minimax problem can be obtained by solving a nonlinear system of algebraic equations and this nonlinear system can be solved by the Newton method.

**keywords:** minimax problem, nondifferentiable optimization, maximum entropy function, maximum entropy function with parameters, exact penalty function, the Newton method.

**Signal stabilisation of two dimensional nonlinear relay control systems**

Kartik Chandra Patra and Bibhuti Bhusan Pati (Indira Gandhi Institute of Technology Sarang, India) | Janusz Kacprzyk(Polish Academy of Sciences, Poland) |

**- and - domain filters for A/D quantization errors**

Zbigniew Świder(Technical University of Rzeszów, Poland) |

**Design of discrete-time controller by using continuous-time methods**

Ryszard Gessing(Silesian University of Technology, Poland) |

**keywords:** Discrete-time systems, controllers, control system design, digital system, microprocessor control.

**Analysis of selected formalisms of modelling discrete manufacturing processes**

Tadeusz Mikulczyński and Zdzisław Samsonowicz(Technical University of Wrocław, Poland) |

**A note on terminal control sensitivity**

Krzysztof Nowosad(Warsaw University of Technology, Poland) |

**Decision making under ambiguity: a belief-function perspective**

Rajendra P. Srivastava(The University of Kansas, USA) |

**The Schwartz kernel theorem and the frequency-domain theory of nonlinear systems**

S. P. Banks, C. Riddalls, D. McCaffrey(University of Sheffield, England) |

**keywords:** Nonlinear Systems, Frequency Response, Kernel Theorem.

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