This paper deals with the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the manipulation convex hull ...
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This paper deals with the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the manipulation convex hull of the polytopic model influences the control performance which is derived by LMIs. We examine these influences through the control design of the two dimensional aeroelastic system's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models lead to different control performances.
Action rules are built from atomic expressions called atomic action terms and they describe possible transitions of objects from one state to another. They involve changes of values within one decision attribute. Asso...
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This paper falls in the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopi...
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ISBN:
(纸本)9781424476527
This paper falls in the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the feasibility of the LMI based control design and the resulting control performances. We examine these influences through the control design of the two dimensional aeroelastic system's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models lead to different control performances.
Course material of basic control theory has been overviewed and updated recently at the Faculty of Electrical Engineering and informatics, BME. The paper describes shortly the contents and the teaching methods of the ...
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Lyapunov-stable nonlinear plants can be approximated by an LTI model in many cases. If this approximation is obtained then it is possible to construct a G2DOF control system. The paper presents a new approach how the ...
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Cyclic scheduling concerns of rules aimed at resources assignment as to minimize a given objective function, e.g. the cycle of order execution, feasible timetabling. Such kind of problems belongs to a class of the NP-...
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Cyclic scheduling concerns of rules aimed at resources assignment as to minimize a given objective function, e.g. the cycle of order execution, feasible timetabling. Such kind of problems belongs to a class of the NP-hard ones. Moreover, assuming integer character of data domain it belongs to the class of Diophantine problems that implies their undecidability. In that context, the contribution emphasizes benefits derived from Diophantine problems perspective while focuses on cyclic steady state reachability problem. The conditions sufficient for periodic behaviour of a system composed of sequential, repetitive processes are the main objective. The relationship between system resource constraints and an initial state as well as priority rules allocation is investigated. Finally, the conditions assuring steady state behavior of the system controlled by distributed set of dispatching rules are discussed.
The performance of three different Entity-Attribute-Value (EAV) storage formats for Clinical Data Repositories (CDRs) is compared with regards to querying millions of data points from clinical sources to assess the am...
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The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex com...
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ISBN:
(纸本)9781424476527
The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex combination of Linear Time Invariant (LTI) systems. The main advantage of the TP model transformation is that it is executable in a straightforward way and the Linear Matrix Inequality (LMI) based control design frameworks can immediately be applied to the resulting polytopic models to yield controllers with tractable and guaranteed performance. The main contribution of this paper is that it represents the friction of a DC servo drive in TP model form, automatically designs LMI based controller for friction compensation. The reference signal compensation is also based on the TP model transformation. The results were simulated for speed control of the DC servo drive and were compared to other control techniques.
This paper presents a triple-random ensemble learning method for handling multi-label classification problems. The proposed method integrates and develops the concepts of random subspace, bagging and random k-labelset...
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The objective of the discrete-time modeling tools is twofold. First, they give an insight into the basic ideas of discrete-time modeling of dc-dc converters for university students and interested power electronics spe...
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