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
Optimization of vibration acceleration in a quarter car suspension model

Andrzej Turnau, Maciej Rosół (Department of Automatics, AGH University of Science and Technology, Kraków, Poland) |
keywords: active suspensions, optimal control, LQR
Lipschitz continuity of fuzzy controller

Darina Bártová, Jaromir Kukal, Dana Majerová (ICT Prague, Department of Computing and Control Engineering, Czech) |
keywords: ?ukasiewicz algebra, square root, Lipschitz continuity, Matlab, fuzzy control
Predictive feedback approach to structural vibration suppression

Ryszard Leniowski (Rzeszów University of Technology, Rzeszów, Poland) | Lucyna Leniowska (University of Rzeszów, Rzeszów, Poland) |
The problem of active vibration control of a plate has been vastly researched and described in recent years. Theoretical and experimental results demonstrate the effectiveness of the designed controllers and indicate the potential of control techniques for reducing transient and steady state dynamics in structural acoustic systems. The examples from the computational studies, confirmed that vibration levels could be effectively reduced, however, the implementation procedures are not yet ideal, still exists the gap between experimental and simulations findings. To overcome this problem, authors propose extension for the Fuzzy-PID controller, with an on-line identification technique coupled with a control scheme, for a plate vibration suppression. It is assumed, that the system to be regulated is unknown, the control schemes presented in this work have the ability to identify and suppress a plate vibrations with only an initial estimate of the system order. A prediction method implemented was designed using a neural network (NN) identification algorithm, based on the well-known Runge-Kutta methods. This algorithm is similar to described by Wang and Lin [14], but it uses a computation structure of Runge-Kutta-3/8, with radial cosine basis neural network.
keywords: active vibration control, plate vibrations, clamped boundary condition, predictive methods, computer simulation, Runge-Kutta neural network
Bounding approach to parameter estimation without prior knowledge on modeling error and application to quality modeling in drinking water distribution systems

Kazimierz Duzinkiewicz (Department of Control Engineering, Faculty of Electrical Engineering and Automatic Control, Gdańsk University of Technology, Poland ) |
keywords: modeling errors, bounding method, parameter estimation, uncertain dynamic systems, robust control
On sliding mode based non linear PID design for position control of permanent magnet synchronous machine with unknown load torque

L. Nezli, M. Tadjine, M.S. Boucherit (Process Control Laboratory, Electrical Engineering Departement Ecole Nationale Polytechnique, Algers, Algeria) |
keywords: non linear PID control, sliding mode, backstepping, PMS machine, robustness, current-position tracking, feedback linearizing control
The steering of the ship motion: a μ-synthesis approach

Witold Gierusz (Gdynia Maritime University, Gdynia, Poland) |
keywords: training ship, multivariable system, robust control, structured singular value, real-time steering
Hierarchical stochastic control in a large scale linear system

Zdzisław Duda (Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland) |
keywords: large scale systems, hierarchical control structure, decentralized stochastic control
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