This paper proposes a decentralized model - based predictive controller approach for the design of discrete-time control systems for the regulation of the air temperature and heat supply in greenhouses. A state space ...
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This paper proposes a decentralized model - based predictive controller approach for the design of discrete-time control systems for the regulation of the air temperature and heat supply in greenhouses. A state space model is used at the greenhouse to predict the corresponding indoor temperature over a long-range time period. The sun radiation and outdoor temperature are treated as external disturbances tliat affect the overall system dynamics. A series of energy fluxes consist the heating system and the predictive controllers have proved to be powerful in controlling the supply temperature.
This paper addresses the decentralized adaptive output regulation problem and solve it for a class of large-scale nonlinear systems with commands to be tracked (or disturbances to be rejected) produced by a linear neu...
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This paper addresses the decentralized adaptive output regulation problem and solve it for a class of large-scale nonlinear systems with commands to be tracked (or disturbances to be rejected) produced by a linear neutrally stable exosystem. An adaptive control scheme is proposed that leads to a closed-loop system with the property that for any initial states of the system and exosystem, all close-loop signals are bounded and asymptotic tracking and/or disturbance rejection is achieved.
Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. The...
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In this paper recent results on intelligent communication protocols (ICP) tailored for applications within flexible manufacturing systems (FMS) are presented. These have been derived on the grounds of the concept of I...
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An efficient approach for the adaptive control of approximately and partially known mechanical systems, like traditional soft computing, uses "uniform structures" for modeling, but these structures are obtai...
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An efficient approach for the adaptive control of approximately and partially known mechanical systems, like traditional soft computing, uses "uniform structures" for modeling, but these structures are obtained from certain Lie groups as the symplectic group or the generalized Lorentz group. This approach considerably reduces the number of free parameters in the model. Until now its efficiency was investigated for mechanical uncertainties and external dynamic interactions. In this paper the behavior of the electric drives are also included in the investigations. A 1-DOF mechanical system, a pendulum driven by a DC motor in a computed torque control, is investigated via simulation. The necessary torque is calculated from a formal primitive mechanical model and an adaptivity rule. For adaptivity real number scaling and the generalized Lorentz group elements are used. It is concluded that a single adaptive loop can compensate for the mechanical and the electrical uncertainties simultaneously.
The problem of the pricing equilibrium in multi-service priority-based networks isstudied by using Stackelberg game theory. Some concepts of the game theory were revisited first. Then, the existing results on two-user...
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The problem of the pricing equilibrium in multi-service priority-based networks isstudied by using Stackelberg game theory. Some concepts of the game theory were revisited first. Then, the existing results on two-user, twolevel Nash problem was reviewed briefly. Following this background, a new one-leader, two-level, two-user incentive Stackelberg strategy was derived and proved by employing the time delay involved.
The problem of networking supervision and traffic rate control in multi-service network systems is studied by using concepts of Nash equilibrium and Stackelberg strategy under assumption of two-level system architectu...
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The problem of networking supervision and traffic rate control in multi-service network systems is studied by using concepts of Nash equilibrium and Stackelberg strategy under assumption of two-level system architecture. Models of users, network provider and overall system in game-theoretic setting are presented. Linear Stackelberg incentive strategies are derived for both elastic and non-elastic traffic, and verified using Kelly's example. Outlines of the two-level integrated control and supervision architecture, and of the proposed fuzzy-Perti-net supervisor are given.
Recent developments in the Internet have significantly increased the human capability to obtain information from and reach remote locations. In parallel, the Micro Mechanical and Electronic Systems (MEMS or Microsyste...
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This paper deals with the verification of logic control system designs by signal interpreted Petri net (SIPN), which is a special extension of an ordinary Petri net (PN) by input and output signals. Such extensions pr...
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Throughout many research and development projects for active rule systems, active rules are implemented with different syntax and semantics. It becomes one of the stumbling blocks to apply active database systems espe...
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