In the typical computer control systems the core control algorithm itself is usually hard coded in a fixed form in a computer program. As such the control algorithm is not easily adjustable for run-time changing contr...
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In the typical computer control systems the core control algorithm itself is usually hard coded in a fixed form in a computer program. As such the control algorithm is not easily adjustable for run-time changing control goals and usually if any kind of reconfiguration of the algorithm is required, it can only be achieved via some kind of external tuning. In this paper a software architecture of Fuzzy Logic controller algorithm for control of DC generator with separate excitation is presented. As such, the generator is a non-linear system due to the non-linear magnetization characteristic of its excitation circuit. Novelty of the paper lies in using the Open Decision Point component architecture to implement a flexible control algorithm where the core decision making logic is run-time loadable, configurable and replaceable which does not only enable parametric adjustment of control strategy but also changing the control strategy itself.
Expressing user's preferences in database querying is best achieved by fuzzy modeling of linguistic terms included in selection criteria. This paper deals with temporal criteria, for querying date/time columns in ...
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System model is very useful to study the response of a system for different input variations and for the control design schemes in both real time application and in the simulation. The concept of a model refers to ent...
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Stimulation trains of different combination of frequency and pulse-width can be used to generate the muscle force required to perform a functional task during functional electrical stimulation (FES). However, with rep...
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This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference System (ANFIS). A series of experiments using Functional electrical Stimulation (FES) with different stimul...
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This paper presents path planning optimization for mobile robots using approximate routes. The desired path connects a given starting position to a target position under avoidance of static obstacles. The described ap...
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This paper proposes a singular perturbation approximation that preserves system passivity and an interconnection topology among subsystems. In the first half of this paper, we develop a singular perturbation approxima...
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ISBN:
(纸本)9781479901777
This paper proposes a singular perturbation approximation that preserves system passivity and an interconnection topology among subsystems. In the first half of this paper, we develop a singular perturbation approximation valid for stable linear systems. Using the relation between the singular perturbation and the reciprocal transformation, we derive a tractable expression of the error system in the Laplace domain, which provides a novel insight to regulate the approximating quality of reduced models. Then in the second half, we develop a structured singular perturbation approximation that focuses on a class of interconnected systems. This structured approximation provides a reduced model that not only possesses fine approximating quality, but also preserves the original interconnection topology and system passivity.
In this paper, we develop a dissipativity-preserving model reduction method based on a generalized singular perturbation approximation. This model reduction framework can deal with not only standard singular perturbat...
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ISBN:
(纸本)9781467357159
In this paper, we develop a dissipativity-preserving model reduction method based on a generalized singular perturbation approximation. This model reduction framework can deal with not only standard singular perturbation approximation but also projection-based model reduction as a special case. To develop such a model reduction method, we investigate a condition under which system dissipativity is appropriately preserved through the approximation. Moreover, deriving a novel factorization of the error system in the Laplace domain, we derive an a priori error bound in terms of the H_2-norm. The efficiency of the model reduction is shown through an example of interconnected second-order systems.
This paper describes a distributed control strategy for a hybrid electric vehicle, in order to reduce the fuel consumption, and to maintain a reasonable state of charge (SOC), at the end of the drive cycle. The vehicl...
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The goal of this paper was to develop a Simple Access Object Protocol (SOAP) Parlay X Web service interface that supports standard GSM modems and can be used as development and testing environment for SMS based applic...
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