摘要:
A model-based control system for controlling a production system is disclosed. The production system provides jobs and objectives to the model-based control system. The model-based control system includes, a planner operative to provide the production system with a plan, the planner generating the plan using a depth-first target value search. The depth-first target value search being configured to generate the plan with a failure probability most closely approximating a target value. Also provided is a system model operative to model the behavior of the production system. Another aspect of the model-based control system is a diagnosis engine operative to estimate failure probabilities for plans and provide diagnostic guidance to the planner. The model-based control system including the planner, the system model and diagnosis engine are implemented via a digital processing device.
摘要:
A method for determining a target path for a model-based control system. The model-based control system includes a directed acyclic graph, where the directed acyclic graph includes a plurality of vertices interconnected by a plurality of edges. The method includes the steps of performing a depth-first search of the directed acyclic graph for the target path. The depth-first search is operative to return an explicit solution or an implicit solution, wherein the implicit solution is determined using a heuristic. The method further includes determining if the depth-first search returned an explicit solution or an implicit solution, and if the depth-first search returned an implicit solution, constructing the target path from the implicit solution. The method may further include constructing a pattern database.
摘要:
Target value search methods and systems are presented for solving a target value path problem to identify a path or paths in a graph in which a connection graph is created and upper and lower bound values are determined for each node in the connection graph, and a first best search is performed to identify a path or paths from a starting node to a goal node having a path value closest to the target value.
摘要:
A method for determining a target path for a model-based control system. The model-based control system includes a directed acyclic graph, where the directed acyclic graph includes a plurality of vertices interconnected by a plurality of edges. The method includes the steps of performing a depth-first search of the directed acyclic graph for the target path. The depth-first search is operative to return an explicit solution or an implicit solution, wherein the implicit solution is determined using a heuristic. The method further includes determining if the depth-first search returned an explicit solution or an implicit solution, and if the depth-first search returned an implicit solution, constructing the target path from the implicit solution. The method may further include constructing a pattern database.
摘要:
Target value search methods and systems are presented for solving a target value path problem to identify a path or paths in a graph in which a connection graph is created and upper and lower bound values are determined for each node in the connection graph, and a first best search is performed to identify a path or paths from a starting node to a goal node having a path value closest to the target value.
摘要:
Methods and systems for solving a target value search problem using a multi-interval heuristic are presented. The methods and system identity a path, or paths, in a graph, whereby a connection graph is created and range sets are generated for each vertex in the connection graph. Range sets include one or more intervals. Thereafter, a best search is performed to identify a path, or paths, from a starting vertex to a goal vertex having a path value closest to a target value.
摘要:
Methods and systems for solving a target value search problem using a multi-interval heuristic are presented. The methods and system identity a path, or paths, in a graph, whereby a connection graph is created and range sets are generated for each vertex in the connection graph. Range sets include one or more intervals. Thereafter, a best search is performed to identify a path, or paths, from a starting vertex to a goal vertex having a path value closest to a target value.
摘要:
A method for determining a target path for a model-based control system. The model-based control system includes a directed acyclic graph, where the directed acyclic graph includes a plurality of vertices interconnected by a plurality of edges. The method includes the steps of performing a depth-first search of the directed acyclic graph for the target path. The depth-first search is operative to return an explicit solution or an implicit solution, wherein the implicit solution is determined using a heuristic. The method further includes determining if the depth-first search returned an explicit solution or an implicit solution, and if the depth-first search returned an implicit solution, constructing the target path from the implicit solution. The method may further include constructing a pattern database.
摘要:
A method and system for performing a graph search, includes constructing an abstract representation of the graph using state-space abstraction. The abstract representation of the graph includes one or more abstract nodes having duplicate detection scopes and one or more abstract edges having operator groups. The duplicate detection scopes of the abstract nodes are partitioned into smaller duplicate detection scopes using edge partitioning. The abstract edges include the smaller duplicate detection scopes. Nodes in the current search layer are expanded using the operator groups of outgoing abstract edges of the abstract nodes the nodes map to. The operator groups associated with abstract edges having disjoint duplicate detection scopes are used to expand the nodes in parallel. Once all the operator groups in the current search layer have been used for node expansion the method progresses to the next search layer.
摘要:
A method and system for performing a graph search, includes constructing an abstract representation of the graph using state-space abstraction. The abstract representation of the graph includes one or more abstract nodes having duplicate detection scopes and one or more abstract edges having operator groups. The duplicate detection scopes of the abstract nodes are partitioned into smaller duplicate detection scopes using edge partitioning. The abstract edges include the smaller duplicate detection scopes. Nodes in the current search layer are expanded using the operator groups of outgoing abstract edges of the abstract nodes the nodes map to. The operator groups associated with abstract edges having disjoint duplicate detection scopes are used to expand the nodes in parallel. Once all the operator groups in the current search layer have been used for node expansion the method progresses to the next search layer.