Daniel Miller

Aug 2, 2024 | abc.net.au | Fiona Blackwood |Daniel Miller

Australia's food manufacturing industry is concerned that as costs keep rising, more and more imported goods will appear on supermarket shelves. Some say they worry about the sector going the way of car manufacturing in Australia, which shifted manufacturing overseas. There are calls for more federal government help for the industry to protect local businesses and jobs. Australia produces an abundance of fresh food.

Jun 15, 2024 | abc.net.au | April McLennan |Daniel Miller |Morgan Timms

Physically injured and mentally traumatised, Australian women have been speaking up in what has become the 'Me Too' movement of birth. Now, an ABC investigation has uncovered allegations of mothers undergoing procedures and being medicated without consent inside a Tasmanian hospital. With each push, Georgia Lilley knows it won't be long until she can cradle her newborn in her arms.

May 26, 2024 | macon.com | Daniel Miller

Whether it's bears, coyotes or mountain lions, there is a sense in many of L.A.'s hillside communities that something four-legged and feral lurks just beyond the asphalt and attached garages. And on Canyon Crest Drive in Monrovia, Calif., the residents know that they live in bear country. Their street is frequented by California black bears coming down from the San Gabriel Mountains to scavenge for food. And one apparently has a particular craving: Oreos.

Mar 22, 2024 | abc.net.au | Daniel Miller |James Dunlevie

Thanks for being here with us this arvo as we bring you the final moments of the election campaign and the first results this evening. Polls close at 6pm. I'm Daniel Miller and I'm joined by James Dunlevie (and ABC election analyst Casey Briggs will pop in from time to time) and we'll be with you into the evening. Our reporters will also be on hand to help break down what the results mean. For those of your still need needing to get a last-minute vote in, you can look up a nearby polling place here.

Mar 10, 2024 | onlinelibrary.wiley.com | Daniel Miller |Craig J. Lalumiere

Supervisory control has been shown to be a very effective approach to adaptive control which ensures step-tracking, exponential stability, and a degree of robustness to unmodeled dynamics. Here we apply the technique to the classical d $$ d $$ -step-ahead adaptive control problem: we not only prove exponential stability and tracking of a general bounded reference signal, but also a never-before-seen linear-like convolution bound on the effect of the noise/disturbance.