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Knowledge Representation and Reasoning for the Design of Resilient Sensor Networks
Published in Fei Hu, Qi Hao, Intelligent Sensor Networks, 2012
David Kelle, Touria El-Mezyani, Sanjeev Srivastava, David Cartes
We use ASCs as a tool to model knowledge that will serve as a basis for reasoning operations. ASCs have been chosen in this research because of their rich structure, which allows the encoding of a large range of knowledge. These developed tools will have an impact beyond the field of sensing and measurement systems, as the generality of our approach will yield a theory that can be used in numerous branches of control, such as system health management, robotics, and unmanned space exploration. The development of technologies (e.g., actuators, sensors, etc.) presents an opportunity to develop a new intelligent control paradigm based on reasoning by analogy with the goal of improving the capability of systems. Furthermore, some of the biggest obstacles in large-scale complex systems are (1) uncertainty, (2) controllability, and (3) unpredictability because of the system’s dynamic nature. The proposed tools for using analogies for problem solving in real-time will go a long way in addressing these concerns.
Structural Control Theory
Published in You-Lin Xu, Jia He, Smart Civil Structures, 2017
In the control theory, the concept of controllability, as a coupling between the control vector and the system states, only involves the system matrix A and the matrix B which is associated with the control vector. Thus, one can consider the following linear state equation: () X˙=AX+Bu
Discrete Linear Systems
Published in Janos J. Gertler, Fault Detection and Diagnosis in Engineering Systems, 2017
A system (or realization) is called controllable if it is possible to move it from an arbitrary (known) initial state x(to) to an arbitrary target state x(to + k) in a finite number of steps, that is, if it is possible to find a sequence of inputs u(to), u(to + 1), …, u(to + k − 1) which results in the desired transition. Controllability is an internal property of the system (realization) which is determined by and can be judged from the system parameters A and B.
A method for the concurrent design and analysis of networked manufacturing systems
Published in Engineering Optimization, 2019
Jelena Milisavljevic-Syed, Sesh Commuri, Janet K. Allen, Farrokh Mistree
In systems theory, controllability is a system property guaranteeing the existence of input variables that can drive the system from an arbitrary state to a desired state along specified state trajectories (Mantripragada and Whitney 1999). The criterion for controllability is connected with output controllability (Mantripragada and Whitney 1999): where is the vector of input parameters at station k, and is the realizability matrix. The term realizability is a property of the control vector signifying that there are solutions that are able to control the degrees of freedom of the workpiece (Mantripragada and Whitney 1999).
Controllable containment control of multi-agent systems based on hierarchical clustering
Published in International Journal of Control, 2021
Shiming Chen, Zhengang Xia, Haiying Li, Junkai Liu, Huiqin Pei
For a directed multi-agent network consisting of N identical agents, the graph is used to represent the topology of the network. is a set of node, and is a set of edges. In modern control theory, the system controllability is a general concept that reflects the control ability of the input to the system state.