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The standard approach in feedback control systems is to sample and control periodically. For some applications, such as networked control systems or severely energy-constrained systems, it could be advantageous to instead use event-based control schemes. Aperiodic control (that is, event-based control with no specified minimum inter-event time) of first-order stochastic systems has been investigated in previous work. In any real implementation, however, it is necessary to have a well-defined minimum inter-event time. In this paper, we explore two such sporadic control schemes for first-order linear stochastic systems and compare the achievable performance to both periodic and aperiodic control. The results indicate that sporadic control can give better performance than periodic control in terms of reduced process state variance and control action frequency. [ABSTRACT FROM AUTHOR]

Within industry the demand for short lead-time and reduced effort consumption is in focus. For an associated industry partner the lead-time and effort focus has meant turning the interest towards the Verification and Validation (V&V) process. The industry cooperation motivating this study aims at providing a tailored and applicable V&V process, where the order of verification and validation may be changed as well as the amount of V&V activities conducted. Through the industry cooperation as well as industrial and academic experience, a method has been formulated that address how to select a suitable V&V process depending on the functionality being developed. The method describes how a suitable process is created and selected, where the appropriate process is identified based on functionality and coupling between the system entities being developed. It is concluded that the method provides support, structure and clarification to address the possibilities to a trade-off between verification and validation. [ABSTRACT FROM AUTHOR]