Jadhav, ShashankShashankJadhavDatar, AdwaitAdwaitDatarWerner, HerbertHerbertWerner2019-04-252019-04-252018-08-09American Control Conference (2018-June): 2473-2478 (2018-08-09)http://hdl.handle.net/11420/2490We propose a distributed approach to dynamic quantization for discrete time multi-agent systems with local memory storage at each agent. The usual assumption of a common memory storage is relaxed and the zooming-in/zooming-out strategy is based on a scaling factor which is additionally communicated. We use the notion of small lp signal lp stability to prove the effectiveness of our approach and provide a bound on the quantization error.en0743-1619201824732478Conference Paper10.23919/ACC.2018.8431183Other