This paper tackles the robust stabilization problem for the plant family described by the transfer function set P(s, δ, δ) whose coefficients of the denominator and the numerator polynomials are affine in a real unc...
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A Norm-Optimal Iterative Learning control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties ...
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In many practical applications, constraints are often present on, for example, the magnitudes of the control inputs. Recently, based on a novel successive projection framework, two constrained iterative learning contr...
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In many practical applications, constraints are often present on, for example, the magnitudes of the control inputs. Recently, based on a novel successive projection framework, two constrained iterative learning control (ILC) algorithms were developed with different convergence properties and computational requirements. This paper investigates the effectiveness of these two methods experimentally on a gantry robot facility, which has been extensively used to test a wide range of linear model based ILC algorithms. The results obtained demonstrate the effectiveness of the algorithms in solving one form of the general constrained ILC problem.
In many practical applications, constraints are often present on, for example, the magnitudes of the control inputs. Recently, based on a novel successive projection framework, two constrained iterative learning contr...
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The commonly used approach to avoid the effects of a critical situation in an industrial plant is a limited strategy. The paper describes the implementation of a defect classifier on a Waste Water Treatment Plant as a...
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The commonly used approach to avoid the effects of a critical situation in an industrial plant is a limited strategy. The paper describes the implementation of a defect classifier on a Waste Water Treatment Plant as a means of achieving early warning and devising proper response to a critical situation. According to the IEC 61511/ISA 84 process safety standards, the process risk has to be reduced to a tolerable level as set by the plant owner.
An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping pro...
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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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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 classical relational databases. Fuzzy models for some linguistic terms and ways to operate with them, in order to evaluate queries, are proposed.
Sentiment analysis refers to a broad area of natural language processing,computational linguistics and text mining.A successful sentiment analysis model based on Twitter,the popular social networking and micro bloggin...
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Sentiment analysis refers to a broad area of natural language processing,computational linguistics and text mining.A successful sentiment analysis model based on Twitter,the popular social networking and micro blogging service,could provide useful information to the Internet users due to its realtime *** instance,Twitter can be a resource for people interested in staying up on diet and *** work is a part of a project where we are developing a framework for semantic manipulation of health and nutrition *** analysis and classification are keys to the intelligent search process especially in a critical area like health and nutrition. Sentiment analysis in this paper refers to the task of classifying opinionated health and nutrition tweets as either positive or negative according to the overall sentiment expressed by the *** paper presents an experimental study of using support vector machines for sentiment analysis in the health and nutrition domain of *** results demonstrate the applicability of support vector machines to Twitter sentiment analysis and emphasize the importance of preprocessing due to the unique attributes of tweets.
This paper proposes a discrete-time predictive controller for variable speed horizontal wind turbines. The control strategy is implemented using discrete-time model predictive control (MPC). MPC provides an integrated...
This paper proposes a discrete-time predictive controller for variable speed horizontal wind turbines. The control strategy is implemented using discrete-time model predictive control (MPC). MPC provides an integrated solution for controlling systems with interacting variables, complex dynamics and constraints. The discrete predictive controller has the advantage that can be easily implemented on a physical controller in order to be used on a real wind turbine. In order to design the appropriate predictive controller it is necessary to describe the wind turbine behavior. After computing the general equation of motion in a mechanical system and other equations specific to the system a nonlinear model was obtained. For the linear model representation it was used a particular operating point. Based on this representation the predictive control strategy was implemented, tested and analyzed using Matlab simulation environment.
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