Siddartha Bhattacharyya

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— We study diagnosis of discrete event systems (DESs) modeled in the rule-based modeling formalism introduced in [1], and applied in [5], [6] to model failure-prone systems. An attractive feature of rule-based model is it's compactness (size is polynomial in number of signals). A motivation for the work presented is to develop failure diagnosis techniques(More)
correcting faults in the network. We study modeling of communication network protocols, and their fault detection, fault identification and fault location in the discrete event systems diagnosis framework. Our approach provides a systematic way of performing fault diagnosis in network fault management, and is illustrated through a network fault diagnosis(More)
Autonomous Systems (AS) have been increasingly investigated for safety, aviation , medical, and military applications with different degrees of autonomy. Autonomy involves the implementation of adaptive algorithms (artificial intelligence and/or adaptive control technologies). Advancing autonomy involves transferring more of the decision-making to AS. For(More)
— In our past work we have developed a hierarchical hybrid-model based mission control approach for autonomous underwater vehicles. The approach is aided by tools that allow graphical design, iterative redesign, and code generation for rapid deployment onto the target platform. The goal is to support current and future autonomous underwater vehicle (AUV)(More)
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