The linear equation AX + BY = C is studied, where A , B , and C are given polynomial matrices such that A −1 B is a strictly proper rational matrix. All polynomial matrix solution pairs X , Y such that YX −1 is a prop...
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The linear equation AX + BY = C is studied, where A , B , and C are given polynomial matrices such that A −1 B is a strictly proper rational matrix. All polynomial matrix solution pairs X , Y such that YX −1 is a proper rational matrix are parametrized. The study is motivated by the polo placement techniques in the design of linear control systems.
This paper introduces the real-time digital identification of nonlinear dynamical processes whose structure and parameters are not known exactly. On the basis of recorded input-output pairs of SISO measurements incorp...
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This paper introduces the real-time digital identification of nonlinear dynamical processes whose structure and parameters are not known exactly. On the basis of recorded input-output pairs of SISO measurements incorporating an additive output noise of stochastic nature the process is linearized and modelled by a second-order lumped parameters representation. The instrumental variable techniques are used as estimators for such processes, and recursive approximations are used to make the IV estimators computationally efficient. The identification performances are presented by simulating two realistic systems, which represent the human blood glucose metabolism, using a notebook computer.
Proportional and Derivative (PD) feedback schemes are often used in the anaiysis of linear control problems, when for instance no solution exists with pure Proportional (even dynamic) feedback. The classes of compensa...
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Proportional and Derivative (PD) feedback schemes are often used in the anaiysis of linear control problems, when for instance no solution exists with pure Proportional (even dynamic) feedback. The classes of compensators that are realizable by using regular PD either state or output feedback are characterized, both for strictly proper systems and, more generally, for descriptor systems.
The growth modelling of the bacterium Photorhabdus luminescens is proposed. Cultivation in liquid culture of the bacterium used in biological pest control is strongly influenced by the control inputs pH value and subs...
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The growth modelling of the bacterium Photorhabdus luminescens is proposed. Cultivation in liquid culture of the bacterium used in biological pest control is strongly influenced by the control inputs pH value and substrate concentration. Two modelling strategies-formal kinetic approach and model based gas analysis-are presented to mathematically describe the bacterial growth as a function of the substrate concentration. The biomass concentration and the substrate consumption can be estimated by using a combination of these approaches.
作者:
Zoran VukićEdin OmerdićLjubomir KuljacaUniversity of Zagreb
Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation Unska 3 HR-10000 Zagreb Croatia University of Tuzla
Faculty of Electrical and Mechanical Engineering Department of Control Engineering in Automation Franjevačka 2 BH-75000 Tuzla Bosnia and Herzegovina
Improved 2-input fuzzy autopilot for ship course control and 3-input fuzzy autopilot for track-keeping are proposed. Nonlinear model of a ship and a steering subsystem is used. The 3-input fuzzy autopilot uses heading...
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Improved 2-input fuzzy autopilot for ship course control and 3-input fuzzy autopilot for track-keeping are proposed. Nonlinear model of a ship and a steering subsystem is used. The 3-input fuzzy autopilot uses heading signal, yaw rate signal and lateral offset from the nominal track to produce a command rudder angle. Input variable fuzzyfication, fuzzy associative memory rules and output set defuzzyfication are described. Obtaining of FAM rules for 3-input fuzzy is described. Dynamical behavior of 2 and 3-input fuzzy autopilot is compared. The influence of wave disturbance, sea current and external disturbance from a passing ship on track-keeping performance was analyzed.
A dynamical mathematical model of a water supply plant based on lumped parameters is described. A concept of its control system is proposed that ensures output pressure stabilisation under conditions of variable water...
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A dynamical mathematical model of a water supply plant based on lumped parameters is described. A concept of its control system is proposed that ensures output pressure stabilisation under conditions of variable water consumption and variable water recourses. The control system consists of inner control loops which control the flow of each pump station and of a superimposed control loop that controls the output pressure of the water supply plant. The pressure controller calculates the cumulative reference value of the water flow for all controlled pumps and from this value an algorithm for the flow distribution calculates the reference flow for each inner loop, taking into account the level of water accumulation in each water well. control performances of output pressure obtained by a conventional PI controller and a fuzzy logic based controller are compared.
The model based fault detection and identification scheme for the rudder servo system as the actuator in the closed loop course keeping control system is presented. The nonlinear process model that enables description...
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The model based fault detection and identification scheme for the rudder servo system as the actuator in the closed loop course keeping control system is presented. The nonlinear process model that enables description of a wide class of fault types is given and the fault function as the residual for detecting and identifying the fault is introduced. A fault detection scheme with variable thresholds is suggested and its performance has been tested via simulation in the presence of modeling uncertainty and noise. A fault identification scheme based on comparison between the fault function estimate and the output of a predefined analytical fault model is suggested.
The basic principles of the self-tuning generalized predictive controller (GPC) and the self-tuning pole placement controller are presented. A laboratory shell-and-tube heat exchanger is used to test the properties of...
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The basic principles of the self-tuning generalized predictive controller (GPC) and the self-tuning pole placement controller are presented. A laboratory shell-and-tube heat exchanger is used to test the properties of the presented controllers. The self-tuning GPC were compared with the self-tuning pole placement controller regarding their parameter adjustment complexity, reference and disturbance step responses and robustness to differences between the real process and its mathematical model.
Based on the research at the location "Middle Adriatic", the analysis of the noise spectrum of the Adriatic Sea is presented. The applied measurement method and necessary instrumentation, followed by the bas...
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Based on the research at the location "Middle Adriatic", the analysis of the noise spectrum of the Adriatic Sea is presented. The applied measurement method and necessary instrumentation, followed by the basic scheme of the measurement channel, are given. A representative Adriatic Sea noise spectrum for the particular location is given, with the sea state as a parameter. A regression analysis is made that led to an appropriate approximation polynomial of the spectrum.
The stabilisation control for a class of composite plants based on the concept of output feedback is investigated. A decentralised control is constructed to stabilise this class of large-scale systems with delay and t...
The stabilisation control for a class of composite plants based on the concept of output feedback is investigated. A decentralised control is constructed to stabilise this class of large-scale systems with delay and time varying uncertainties in the interconnections. The control action is based on the output feedback. Interconnections satisfy the so-called matching conditions. A sufficient condition is presented, which ensures uniform ultimate boundedness for both the subsystems and the overall system.
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