For electro-optical imaging systems, line-of-sight stabilization against different disturbances created by mobile platforms is crucial property. The development of high resolution sensors and the demand in increased operating distances have recently increased the expectations from stabilization loops. For that reason, higher gains and larger bandwidths become necessary. As the stabilization loo...

This paper is concerned with control applications over lossy data networks. Sensor data is transmitted to a estimation-control unit over a network, and control commands are issued to subsystems over the same network. Sensor and control packets may be lost or delayed. This is modeled by allowing that sensor and control packets are successfully received with certain probabilities. In this context...

This paper discusses, in both continuous time and discrete time, the issue of certainty equivalence in two-player zero-sum stochastic differential/dynamic games when the players have access to state information through a common noisy measurement channel. For the discrete-time case, the channel is also allowed to fail sporadically according to an independent Bernoulli process, leading to intermi...

ity of the desired transfer-function matrix T,(s) is that the matrix equation (9) is consistent for m > 3 m (i.e., for the case where there are more equations than unknowns). However, as it is seen below, this condition is not sufficient. Suppose that it is required to test the admissibility of a desired transfer-function matrix TAs). Also consider another transfer-function matrix Tu@), for whi...

The identification of the cost function, the optimization of which generates the optimal behavior of a dynamic system, is one of the most challenging problems in the areas of sensorimotor control, machine learning and control theory. The problem could be state as follows: given the dynamics of a system and by observing its behavior we ask what is the cost function that if it was optimized it wo...

Generative Adversarial Networks (GANs) have become a popular method to learn a probability model from data. Many GAN architectures with different optimization metrics have been introduced recently. Instead of proposing yet another architecture, this paper aims to provide an understanding of some of the basic issues surrounding GANs. First, we propose a natural way of specifying the loss functio...

Control of automotive exhaust emission has become an important research area to meet the more stringent automotive emission regulations. Beside the modification on internal combustion engine, control engineering is seen as another approach to improve and meet these requirements. This paper focuses on the design and development of a control system to reduce the harmful waste of automotive exhaus...

An important problem in systems such as aerospace interiors, automobile passenger compartments and other cavities is the control of low frequency interior noise. Active control of this noise may offer a potentially better alternative to passive control due to constraints of weight and space. Active structural-acoustic control (ASAC) is considered as an attractive strategy especially for control...

Motivated by control applications over lossy packet networks, this paper considers the Linear Quadratic Gaussian (LQG) optimal control problem in the discrete time setting and when packet losses may occur between the sensors and the estimation-control unit and between the latter and the actuation points. Previous work [1] shows that, for protocols where packets are acknowledged at the receiver ...

We consider linear-quadratic-Gaussian (LQG) games with a major player and a large number of minor players. The major player has a significant influence on others. The minor players individually have negligible impact, but they collectively contribute mean field coupling terms in the individual dynamics and costs. To overcome the dimensionality difficulty and obtain decentralized strategies, the...