2022 (vol. 32) - Number 1
J. Cvejn:
The magnitude optimum design of the PI controller for plants with complex roots and dead time
S.F. Al-Azzawi, M.A. Hayali:
Coexisting of self-excited and hidden attractors in a new 4D hyperchaotic Sprott-S system with a single equilibrium point
M.A. Hammami, N. El Houda Rettab, F. Delmotte:
On the state estimation for nonlinear continuous-time fuzzy systems
M. Ilyas, M.A. Khan, A. Khan, Wei Xie, Y. Khan:
Observer design estimating the propofol concentration in PKPD model with feedback control of anesthesia administration
L. Moysis, M. Tripathi, M. Marwan:
Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs – application to chaos synchronization
S. Vaidyanathan, K. Benkouider, A. Sambas:
A new multistable jerk chaotic system, its bifurcation analysis, backstepping control-based synchronization design and circuit simulation
T.T. Tuan, H. Zabiri, M.I.A. Mutalib, Dai-Viet N. Vo:
Disturbance-Kalman state for linear offset free MPC
Yuan Xu, Jun Wang:
A novel multiple attribute decision-making method based on Schweizer-Sklar t-norm and t-conorm with q-rung dual hesitant fuzzy information
T. Kaczorek:
Observers of fractional linear continuous-time systems
ACS Abstract:
Number 1/2
An evolutionary method of trajectory planning in collision situations at sea

Roman Śmierzchalski (Gdynia Maritime Academy, Poland ) |
In a collision situation at sea, the decision support system should help the operator to choose a proper manoeuvre in given circumstances, teach him good practices, and enhance his general intuition on how to behave in similar situations in future. An accepted approach in those cases is a multiple criterion decision problem. In this paper, a modified version of the EP/N (Evolutionary Planner/Navigator) algorithm - has been used as a major component of such a decision support system for computing the near optimum trajectory of a ship in given environment. By taking into account certain boundaries of the manoeuvring region, along with navigation obstacles and other moving ships, the problem of avoiding collisions at sea was reduced to a dynamic optimisation task with static and dynamic constrains. The introduction of a time parameter and moving constrains representing the passing ships is the main distinction of the new system. Sample results, having the form of ship trajectories obtained using the program for typical navigation situations are given.
keywords: evolutionary algorithms, trajectory planing, avoiding collisions at sea, decision support system.
Some remarks on pole assignability of distributed parameter systems

Toshihiro Kobayashi (Kyushu Institute of Technology, Japan ) |
keywords: pole assignment problem; distributed parameter systems, unbounded feedback.
Controllability of a generalized linear control system

Hubert Wysocki (Naval Academy, Poland) |
On reducing the order of the stabilizing compensator for a linear multivariable plant

Radosław Ładziński (Warsaw University of Technology, Poland ) |
Parametric minimization of influence of stochastic disturbation in linear systems

Tadeusz Banek (Technical University of Lublin, Poland) |
Discrete-averaged mathematical models of neutral delay systems

Wojciech Kozera (Maritime University of Szczecin, Poland) |
A neuro-fuzzy approach to system modelling, Part I. Methodology

Marian B. Gorzałczany (Kielce University of Technology, Poland) |
keywords: Fuzzy sets, artificial neural networks, neuro-fuzzy systems, fuzzy neural networks, fuzzy models, identification methods, fuzzy controllers.
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