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The following topics are dealt with: adaptive control; stability and control of time-delay systems; aerospace applications; agent networks; filtering and observer design; stability and control of hybrid and singular systems; networked control systems; tracking; stability of delay systems; UAVs and flight control; agents and autonomous systems; estimation; linear matrix equality methods; control over...
A unified recursive approach to i) identification for systems like ARMAX, nonlinear ARX, and others, and to ii) adaptive regulation of Hammerstein and Wiener systems is presented. By this method the problem under consideration is transformed to a root-seeking problem, to which the Robbins- Monro (RM) algorithm, the classical stochastic approximation (SA) algorithm, aiming at seeking for roots of an...
A unified recursive approach to i) identification for systems like ARMAX, nonlinear ARX, and others, and to ii) adaptive regulation of Hammerstein and Wiener systems is presented. By this method the problem under consideration is transformed to a root-seeking problem, to which the Robbins-Monro (RM) algorithm, the classical stochastic approximation (SA) algorithm, aiming at seeking for roots of an...
Summary form only given. As communication devices and embedded systems become ever more ubiquitous and integrated with everyday life, the need for understanding the fundamental limitations and capabilities of networked decision systems becomes more critical. The challenge in this research area stems from the fact that there are many different types of networked systems that are slated to perform various...
The paper describes a model, architecture, and functionality of a priority buffer, which receives an arbitrary sequence of instructions and outputs a new sequence ordered in accordance with the priorities of the instructions that have already been received. Any new incoming instruction changes the output sequence because it has to be accommodated in the buffer on the basis of its priority. It is shown...
Summary form only given. Living organisms learn by acting on their environment, observing the resulting reward stimulus, and adjusting their actions accordingly to improve the reward. This action-based or reinforcement learning can capture notions of optimal behavior occurring in natural systems. We describe mathematical formulations for reinforcement learning and a practical implementation method...
In this work, we propose a fluid tapping mode atomic force microscopy (AFM) implemented by a DVD pickup head. The use of DVD pickup head minimizes the volume of the hardware system, and thus reduces the measurement error caused by heat expansion. In order to realize the system mentioned above, we design a Q-controller to modulate the interaction force between the tip and the sample. Increasing the...
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