A guidance and control system is proposed for automatic carrier landing of an unmanned aerial vehicle. To this end, the position and attitude of the carrier is predicted by considering the sea state so that the UAV guidance loop can be compensated during the final approach phase. The landing kinematics and reference trajectory are determined using the predicted touchdown position. Nonlinear guidance and control laws are designed based on a sliding-mode control scheme to make the UAV robustly follow the reference trajectory

A capture region of the composite guidance law is analyzed for a missile equipped with a strapdown seeker. The composite guidance law consists of a deviated pure pursuit guidance law and pure proportional navigation guidance law to perform impact angle control. The range of the field-of-view limit restricts the performance of the guidance law, which reduces the capture region. Based on the characteristics of the guidance law, the range of the achievable impact angle is investigated by considering the collision condition and field-of-view limit. It is shown that the capture region is represented in terms of the relative initial position and terminal flight path angle. Numerical simulations are performed to investigate the properties of the proposed capture region of the composite guidance law.

An exo-atmospheric midcourse guidance law is proposed to intercept a ballistic missile during the free-flight phase. The proposed guidance law generates a thrust direction command for an anti-ballistic missile to hit the target at the predicted intercept point. For the predicted intercept point, the zero-effort-miss and zero-effort-velocity are determined based on the solutions of the two-body orbital boundary/initial value problems. The intercept point is predicted by using the trajectory shaping parameter that combines the zero effort trajectory and minimum time trajectory. A response surface model for the minimum interception time is constructed as a database, which is the polynomial function of the initial condition. The response surface model provides a predicted minimum time interception position for the midcourse guidance. Case studies are performed to demonstrate the performance of the proposed guidance law considering various uncertainties.

In this paper, we explore how legacy software logic can be re-used in a new context-of-use. In effect, oftentimes existing software is required to evolve or to be integrated into a new complex environment. Technological improvements, new usages, regulations or financial constraints are such reasons for evolution. Parts of the legacy functions are still useful and it is certainly challenging to integrate such code, as legacy systems were designed and implemented for a specific purpose in the past. Nevertheless, they are an expensive investment and transforming them to allow modification and integration with other actors would not only save high investment, but also enable future modifications. We consider that an adequate technique to drive the integration of legacy systems into self-adaptive systems is to transform first the legacy code into a multi-agent system (MAS), from which adaptation within the system and communication with external actors is easier to attain. We refer to this process as \"adaptization\". We use as an adaptation proxy conceptually intelligent agents conforming to the Belief, Desire, Intention (BDI) model, one of the tools of Agent-Oriented Software Engineering (AOSE). This proxy permits to understand the legacy system in terms of goals to achieve and to address adaptiveness as a goal selection problem at run-time (based on context), thus abstracting away the current implementation to a high level goal-achievement mechanism. We propose KOALA, a novel stepwise methodology towards adaptization.