Markovian jumping systems have arisen naturally in the mathematical modeling of phenomena spanning disciplines in the social sciences, natural sciences, and engineering. Much attention has been given to modeling, optimization, and real applications of such stochastic dynamical systems in the literature in recent years. As the advanced control and optimization will provide a basis for the design and application of such stochastic systems, these advanced techniques would result in substantial and sustainable benefits.

The overall aims of this special issue are to focus on theoretical and practical aspects on new control method: optimization for Markovian jumping systems. Solicited papers must bring new ideas, approaches, clearly indicating the advances made through problem statements, and methodologies with applications to Markovian jumping systems. Topics to be covered in this special issue include, but are not limited to:

• Adaptive control and robust control
• Optimization and optimal control
• Predictive control
• Intelligent control using fuzzy modeling or neural network
• Control strategies to Markovian jumping systems with constraints or sensor failures
• Stochastic signal processing
• Applications of novel control algorithms to Markov jump systems

Before submission authors should carefully read over the journal’s Author Guidelines which are located at http://www.hindawi.com/journals/aaa/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/aaa/robu/ according to the following timetable: