This paper addresses the problem of optimally selecting the production plan for a Multiproduct Batch Plant. The proposed approach can also be applied to a broader class of optimal control problems for systems with discrete inputs. The plant is modelled as a Discrete Hybrid Automaton (DHA) using the high level modelling language, HYbrid System DEscription Language (HYSDEL), which allows conversion of the DHA model into an Mixed Logical Dynamical (MLD) model. The solution algorithm, which takes into account a model of a hybrid system described as an MLD system, is based on reachability analysis ideas. The algorithm abstracts the behaviour of the hybrid system into a “tree of evolution”, where nodes of the tree represent reachable states of th...
Complex natural and engineered systems typically possess a hierarchical structure, characterized by ...
Abstract—We present a modeling framework for hybrid systems intended to capture the interaction of e...
This contribution demonstrates the potential of a hierarchical hybrid control framework developed in...
The paper proposes a solution to a class of scheduling problems where the goal is to minimize the sc...
In this paper, the proposed Hybrid Inventory-Production model represents a manufacturing center with...
The problem of systematically synthesizing supervisory control laws that satisfy eventuality and eff...
Multiproduct batch plants (MBPs), also known as specialty plants, are capable Of sequentially produc...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
The paper discusses a framework for modeling, analyzing and controlling systems whose behavior is go...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
The interest in improving plant management is promoted by the benefits of dealing with more complex ...
Abstract: This contribution demonstrates the potential of a hierarchical hybrid control framework de...
This work explores stochastic and hybrid solution approaches for dealing with the problem of integra...
Automobile manufacturing is one of the most important industries in the world. The Production Line P...
For hybrid systems described by interconnections of linear discrete-time dynamical systems, automata...
Complex natural and engineered systems typically possess a hierarchical structure, characterized by ...
Abstract—We present a modeling framework for hybrid systems intended to capture the interaction of e...
This contribution demonstrates the potential of a hierarchical hybrid control framework developed in...
The paper proposes a solution to a class of scheduling problems where the goal is to minimize the sc...
In this paper, the proposed Hybrid Inventory-Production model represents a manufacturing center with...
The problem of systematically synthesizing supervisory control laws that satisfy eventuality and eff...
Multiproduct batch plants (MBPs), also known as specialty plants, are capable Of sequentially produc...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
The paper discusses a framework for modeling, analyzing and controlling systems whose behavior is go...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
The interest in improving plant management is promoted by the benefits of dealing with more complex ...
Abstract: This contribution demonstrates the potential of a hierarchical hybrid control framework de...
This work explores stochastic and hybrid solution approaches for dealing with the problem of integra...
Automobile manufacturing is one of the most important industries in the world. The Production Line P...
For hybrid systems described by interconnections of linear discrete-time dynamical systems, automata...
Complex natural and engineered systems typically possess a hierarchical structure, characterized by ...
Abstract—We present a modeling framework for hybrid systems intended to capture the interaction of e...
This contribution demonstrates the potential of a hierarchical hybrid control framework developed in...