In terms of inconsistent conclusions across all relevant randomized controlled trials (RCTs) and available meta-analyses, we aimed to use a meta-analysis and trial sequential analysis (TSA) to ...

In the recent past, you probably attended a virtual lunch-and-learn presentation, read an article, or had a discussion with a controls sales representative in which the topic was a chilled water plant ...

Sequential Monte Carlo is a useful simulation-based method for online filtering of state-space models. For certain complex state-space models, a single proposal distribution is usually not ...

Corrective control of asynchronous sequential machines (ASMs) represents a critical advancement in the design and operation of digital systems where state transitions occur without synchronous timing.

Rather than run all 192 (4×6×8) combinations of these factors, the engineer would like to see whether the total number of runs can be reduced to 50 in an optimal fashion. Since the factors have ...

This is a preview. Log in through your library . Abstract We introduce a general form of sequential Monte Carlo algorithm defined in terms of a parameterized resampling mechanism. We find that a ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Today algorithms can shape what you buy, ...

Swarms of drones flying in terrifyingly perfect formation could be one step closer, thanks to a control algorithm being developed at MIT. The complexities involved in controlling teams of moving ...

The internal model principle is a 30-years-young idea that serves as the basis for a myriad of modern motion control approaches. One such algorithm — harmonic cancellation — is indispensable to ...

Managing traffic in rapidly growing cities remains one of the biggest challenges for urban planners worldwide. Traffic signal lights and other network control systems are crucial for preventing urban ...