Includes bibliographical references.

Dynamic Graphical Games: Online Adaptive Learning Solutions Using Approximate Dynamic Programming; Online Learning Control for Discrete-Time Unknown Nonaffine Nonlinear Systems; Experimental Studies on Data-Driven Heuristic Dynamic Programming for POMDP; Online Reinforcement Learning for Continuous-State Systems; Adaptive Iterative Learning Control of Robot Manipulators; Neural Network Control of Nonlinear Systems in the Presence of Communication Network; Nonlinear and Robust Model Predictive Control Based on Neurodynamic Optimization; Packet-based Communication and Control Co-Design for Networked Control Systems; Review of Some Approximate Privacy Measures of Multi-Agent Communication Protocols; Encoding-Decoding Machines for Online Concept-Drift Detection on Datastreams; Recognizing sEMG Patterns for Interacting with Prosthetic Manipulation; Energy Demand Management Through Uncertain Data Forecasting: A Hybrid Approach; Many-Objective Evolutionary Algorithms and Hybrid Performance Metrics; Synchronization Control of Memristive Chaotic Circuits and Their Applications; Graph Embedded Total Margin Twin Support Vector Machine and Its Applications; Regularized Covariance Matrix Estimation Based on MDL Principle; An Evolution of Evolutionary Algorithms with Big Data;

The current research and development in intelligent control and information processing have been driven increasingly by advancements made from fields outside the traditional control areas, into new frontiers of intelligent control and information processing so as to deal with ever more complex systems with ever growing size of data and complexity.