A method of automatically estimating the mitotic index of breast tissue samples is presented. The motivation for an automatic method is to minimise this time-consuming repetitive task demanded of experienced pathologi...
A method of automatically estimating the mitotic index of breast tissue samples is presented. The motivation for an automatic method is to minimise this time-consuming repetitive task demanded of experienced pathologists. The method used consists of two image processing stages which extract features that are suitable for pattern recognition. The final stage estimates the sample's mitotic index by combining the estimated probabilities of individual mitotic figures in the sample.
A novel autotuning procedure is presented through application to an industrial in-line pH control system. The procedure has three advantages over classical relay auto-tuners: experiment duration is very short (no need...
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A novel autotuning procedure is presented through application to an industrial in-line pH control system. The procedure has three advantages over classical relay auto-tuners: experiment duration is very short (no need for limit-cycle convergence); all data is used for identification (instead of only peaks and switch instances); a parameter uncertainty model is identified and utilized for robust controller synthesis.
This paper describes the main results obtained so far in the problem of the optimal startup of an industrial evaporation station involving continuous as well as discrete real time decisions.
This paper describes the main results obtained so far in the problem of the optimal startup of an industrial evaporation station involving continuous as well as discrete real time decisions.
This paper deals with the dynamic real time optimization of a benchmark model that represents a genuine problem found at the crystallization section of sugar factories. A most relevant characteristic of the control pr...
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This paper deals with the dynamic real time optimization of a benchmark model that represents a genuine problem found at the crystallization section of sugar factories. A most relevant characteristic of the control problem is given by its hybrid nature, mixing continuous control and the scheduling of the crystallizer batch units. The plant-wide optimal control task is approached in a non-centralized hierarchical way with two-layers. The lower layer consists of a set of MPCs, one for each crystallizer, and is in charge of taking the local decisions that minimize an index related with the economic behavior of each unit. The higher level coordinator layer drives the state of the whole plant near the overall economic optimum, while respecting the constraints imposed by the existence of shared resources.
This paper presents a NMPC of a supermarket refrigeration system. This is a hybrid process involving switched nonlinear dynamics and discrete events, on/off manipulated variables (valves and compressors), continuous c...
This paper presents a NMPC of a supermarket refrigeration system. This is a hybrid process involving switched nonlinear dynamics and discrete events, on/off manipulated variables (valves and compressors), continuous controlled variables (goods temperatures) and finally, several operation constraints. The hybrid controller is based on a parameterization of the on/off control signals in terms of time of occurrence of events instead of using directly binary values, in this way, we can re-formulate the optimization problem as a NLP problem. Results of the hybrid controller operation are given.
The paper aims to review recent developments and points to the challenges and opportunities for the instrumentation, control and management technologies in relationship with the emergence of novel Energy Storage Syste...
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In this paper, a coordination control algorithm based on hierarchical scheme is presented to coordinate several non-linear model predictive controllers (NMPC) working in parallel, with an upper layer, where a price-dr...
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In this paper, a coordination control algorithm based on hierarchical scheme is presented to coordinate several non-linear model predictive controllers (NMPC) working in parallel, with an upper layer, where a price-driven coordination technique is used to drive the controllers in such a way that some global constraints are satisfied. To coordinate the lower layers, it is used a price-adjustment algorithm based on Newton's method, in which a reformulation of Fiacco's work is used in order to obtain the sensitivity analysis for a nonlinear system no matter the set of active constraints. The efficiency of the scheme is evaluated using a simulation of a four-tank benchmark.
This paper addresses the problem of closed-loop operation of scheduling, together with the interaction of control and scheduling, for a class of processes that appear very often in industry: those that combine continu...
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This paper addresses the problem of closed-loop operation of scheduling, together with the interaction of control and scheduling, for a class of processes that appear very often in industry: those that combine continuous production lines with parallel batch units that share some resources. The paper presents a novel approach to this problem, including batching and a new type of precedence in the assignment problem. It also considers the effect of shared resources on the duration of the cycle time of the batch units. The approach is illustrated with a real-life example of a canned tuna factory
Modelling and simulation are inseparable procedures that include the complex activities associated with the construction of models representing real processes, and experimentation with the models to obtain data on the...
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Modelling and simulation are inseparable procedures that include the complex activities associated with the construction of models representing real processes, and experimentation with the models to obtain data on the behaviour of the system being modelled. This paper shows how an objected-oriented modelling language can be used to build the dynamic simulation model of an industrial production process that contains both continuous and bath units. The selected case of study is an essential part of a sugar factory: the sugarhouse.
During the last years, the transportation industry has been involved in important new challenges to cope the changes in production and logistical systems. Just-In- Time procurement and quick and efficient consumer res...
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