Abstract This paper investigates the dynamic cooperative learning control for high‐order output‐feedback systems under output constraints. To avoid complex computation, we use a system transformation strategy in design. Only one neural network (NN) is employed to approximate unknown synthetic function each agent. Subsequently, NN‐based mechanism designed by introducing barrier Lyapunov (BLF). T...

Abstract The adaptive distributed observer approach has been an effective tool for synthesizing a control law solving various problems of leader–follower multiagent systems. However, the existing needs to make use full state leader system. This assumption not only precludes many practical applications in which output system is available, but also leads high dimension observer. In this communiqu...

in the open-pit mining, one of the first decisions that must be made in production planning stage, after completing the design of final pit limits, is determining of the processing plant cut-off grade. since this grade has an essential effect on operations, choosing the optimum cut-off grade is of considerable importance. different goals may be used for determining optimum cut-off grade. one of...

data envelopment analysis (dea) has been long employed as a popular methodology to evaluate the performance of various production activities with multiple inputs and outputs. however, an important issue is that the production process in the real world inevitably generates undesirable outputs (like wastes and pollutants) along with desirable outputs. therefore, the undesirable outputs should be ...