John Ramirez

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The AI model-based diagnosis community has developed qualitative reasoning mechanisms for fault isolation in dynamic systems. Their emphasis has been on the fault isolation algorithms, and little attention has been paid to robust online detection and symbol generation that are essential components of a complete diagnostic solution. This paper discusses a(More)
Area-IO provide a way to eliminate the IO bottleneck of field programmable logic devices (FPLDs) created the mismatch between the ability of perimeter bonds to provide IO and the propensity of logic to demand it. Whether the incorporation of area IO into FPLD architectures has undesirable side effects is a question that has not yet been answered. In this(More)
The proliferation of safety-critical embedded systems has created great demands for online fault diagnosis and fault-adaptive control techniques. A number of methodologies have been proposed, but the implementation of on-line schemes that integrate the fault detection , isolation, identification, and fault accommodation or recon-figuration tasks remains(More)
This article describes methods for online model-based diagnosis of subsystems of the advanced life support system (ALS). The diagnosis methodology is tailored to detect, isolate, and identify faults in components of the system quickly so that fault-adaptive control techniques can be applied to maintain system operation without interruption. We describe the(More)
This article presents the design and implementation of a controller scheme for efficient resource management in Advanced Life Support Systems. In the proposed approach, a switching hybrid system model is used to represent the dynamics of the system components and their interactions. The operational specifications for the controller are represented by(More)
— Fault adaptive behavior is an increasingly important aspect for achieving autonomy in complex controlled physical systems. We describe a model-based approach for achieving this goal, termed Fault Adaptive Control Technology (FACT). FACT system models are constructed as hybrid bond graph models that capture both discrete and continuous behavior of the(More)
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