Robust resource allocation strategy for technology innovation ecosystems: state and control constraints

This paper considers a robust resource allocation strategy design problem in technology innovation ecosystem. The purpose is for both healthy competition and symbiosis between populations. We formulated this as a control design problem. There are three salient features of this problem. First, the control, since it means the resource and should always be positive, is constrained. Second, the state, since it means the population and should always be positive, is constrained. Third, the system, since it represents the interactions between the societal biomass and the resources, is highly uncertain. We endeavor to propose two separate transformations on the state and the control to convert the system to an equivalent and unconstrained system. In a sense, we embed the constraints into the (nonlinear) intrinsic system structure. Following this, the control design has to address two issues. First, the control is to render desirable performance of this (constraint-embedded) system regardless of the uncertainty. Second, the performance of the original system, which is the primary concern, should be equally within the threshold. This paper should be the first effort that addresses the resource allocation strategy of technology innovation ecosystem from the control perspective.