We investigate certain fundamental problems in decentralized decision making and
computation. We study the problem of whether a set of decision makers (or processors) with …

Large-scale systems are often characterized by hierarchical structure, and they usually have
multiple objectives that are noncommensurable. Two well-known approaches to the analysis …

System performance for networks composed of interconnected subsystems can be
increased if the traditionally separated subsystems are jointly optimized. Recently, parallel …

Integrating volatile renewable energy resources into the bulk power grid is challenging, due
to the reliability requirement that the load and generation in the system remain balanced all …

The open-loop Stackelberg game is conceptually extended to p players by the multilevel
programming problem (MLPP) and can thus be used as a model for a variety of hierarchical …

A new distributed model-predictive control method is introduced, which is based on a novel
distributed optimization algorithm, relying on a sensitivity-based coordination mechanism …

This paper investigates the stability and stabilization problems for the fuzzy large-scale
system in which the system is composed of a number of Takagi-Sugeno fuzzy model …

When the follower's optimality conditions are both necessary and sufficient, the nonlinear
bilevel program can be solved as a global optimization problem. The complementary …

This paper proposes a simple analytical model called M time scale Markov decision process
(MMDPs) for hierarchically structured sequential decision making processes, where …

Transcoding is widely adopted for content adaptation; however, it may incur excessive
resource consumption and processing delays. Taking advantage of cloud infrastructure …