In this chapter, the dynamics of manufacturing systems is characterized through the occurrence of events such as parts entering or leaving machines. Furthermore, we assume that the relations between events are expressed by synchronizations (i.e., conditions of the form: for all k greater than or equal to l, occurrence k of event e2 is at least t units of time after occurrence k-l of event e1). Note that this assumption often holds when the considered manufacturing system is functioning under a predefined schedule. First, we discuss the modeling of such systems by linear statespace models in the (max;+)-algebra (due to this property, such systems are often called (max;+)-linear systems). Second, standard open-loop and closed-loop control str...
In response to increased competition, manufacturing systems are becoming more complex in order to pr...
This paper deals with the model-reference control of max-plus linear systems. The main contribution ...
Current literature on modeling and control of manufacturing systems can roughly be divided into thre...
In this chapter, the dynamics of manufacturing systems is characterized through the occurrence of ev...
This paper introduces an adaptive feedback control strategy for (max,+)-linear systems. The feedback...
Book Abstract: Max-plus linear systems theory was inspired by and originated from classical linear s...
This paper deals with the control of discrete event systems modelled by the Max-plus algebra. This a...
Discrete event systems, also known as DES, are class of system that can be applied to systems having...
Discrete event systems, also known as DES, are class of system that can be applied to systems having...
The max-plus linear systems have been studied for almost three decades, however, a well-established ...
The objective of this paper is to provide a concise introduction to the max-plus algebra and to max-...
International audienceIn this paper, a max-plus-linear model predictive con- trol strategy is propos...
Max-plus algebra is a suitable algebraic setting to model discrete event systems involving synchroni...
This paper deals with the control of discrete event systems subject to synchronization and time dela...
In this chapter we provide a framework within which concepts from the field of systems and control c...
In response to increased competition, manufacturing systems are becoming more complex in order to pr...
This paper deals with the model-reference control of max-plus linear systems. The main contribution ...
Current literature on modeling and control of manufacturing systems can roughly be divided into thre...
In this chapter, the dynamics of manufacturing systems is characterized through the occurrence of ev...
This paper introduces an adaptive feedback control strategy for (max,+)-linear systems. The feedback...
Book Abstract: Max-plus linear systems theory was inspired by and originated from classical linear s...
This paper deals with the control of discrete event systems modelled by the Max-plus algebra. This a...
Discrete event systems, also known as DES, are class of system that can be applied to systems having...
Discrete event systems, also known as DES, are class of system that can be applied to systems having...
The max-plus linear systems have been studied for almost three decades, however, a well-established ...
The objective of this paper is to provide a concise introduction to the max-plus algebra and to max-...
International audienceIn this paper, a max-plus-linear model predictive con- trol strategy is propos...
Max-plus algebra is a suitable algebraic setting to model discrete event systems involving synchroni...
This paper deals with the control of discrete event systems subject to synchronization and time dela...
In this chapter we provide a framework within which concepts from the field of systems and control c...
In response to increased competition, manufacturing systems are becoming more complex in order to pr...
This paper deals with the model-reference control of max-plus linear systems. The main contribution ...
Current literature on modeling and control of manufacturing systems can roughly be divided into thre...