A conceptual and formalized approach to describing the problem of synthesis of the control loops (CL) within Integrated Information and Control Systems (IICS) is presented. These systems are, in turn, embedded in a vertically integrated structure of Business Entities (BE). The IICS using the proposed approach will have the capability to maintain the BEs in a viable state (VS). The term VS is the property of the BE related to the guaranteed maintenance of a set of key production, and business indicators within the required ranges throughout the life cycle, while being subject to the influence of destructive factors of the disturbing environment. The main distinction of the proposed approach is the deliberation of multistructural macrodynamics for both IICS and BE as a whole. To achieve this, methodological principles of proactive management of the complex objects (CO) have been utilized. These principles are based on the concepts of polymodel description, anticipatory diversity, intellectualization of management, and aim at implementing the so-called principle of ensuring the necessary managerial solution diversity to address the challenges of managing complexity. The authors of the article demonstrate how the use of the MAS provides a scientifically grounded solution to the tasks of systematic and flexible redistribution of managerial functions among administrative-functional groups in relation to specific structures of the BE. In addition, the practical example of synthesizing the structure of a multi-level IICS is presented, which implements this approach.

   The identification problem of decentralized systems (DS) is considered. The analysis shows that this issue has not been given sufficient attention. The increasing complexity of systems and a priori uncertainty require the development of approaches and methods. First, this concerns the parametric identifiability (PI) of decentralized systems. We propose the approach to the PI evaluation based on the constant excitation condition and considered relationships in the subsystems. The conditions for local structural and parametric identifiability by output and state space are obtained. Adaptive algorithms for decentralized system parametric identification have been synthesized. The exponential dissipativity of the adaptive system is proved. The exponential dissipativity of the adaptive system is proved. The obtained results are based on the application of Lyapunov vector functions. We study the influence of relationships in subsystems on the properties of parameter estimates. It is shown that an adaptive algorithm can be described as a dynamic matrix system if a functional constraint is imposed on the adaptive identification system (AIS). We consider a special case of such algorithms with a delayed argument and study the stability of an adaptive system. The influence of connections in the system on the DS identifiability is analyzed. The conditions of adaptive identification system exponential stability are obtained. We present results of mathematical modeling. The system comprising two subsystems is considered. Adaptive identification results are presented in the output space. The influence of subsystems is studied on estimates of subsystem model parameters. The structures reflecting the difference in the speed of parameter tuning of subsystem models are presented.

   The process of managing the production activities of construction organizations operating in an unstable environment is accompanied by the collection and processing of large amounts of data. For this reason, the management apparatus at various levels of the organizational system of construction production management is often unable to promptly process the information coming to the input of the management system and make timely effective management decisions based on it. Thus, there is an objective need to automate the processes of collecting and processing data in the management system of a construction organization operating in an unstable environment. One of the approaches to solving this problem should include the creation of a subsystem for processing data and supporting management and business decisions in the organizational management system. The article proposes one of the approaches to building a subsystem for data processing and decision support in the process of managing the production activities of a construction organization operating in unstable
environmental conditions. The structural diagram of this subsystem includes the following main modules: environmental monitoring designed to collect data reflecting the current state of the construction organization and its external environment; a module for primary processing of data on the state of the environment of the construction organization; a database and a database of goals, respectively, designed to store a knowledge representation model that defines in general terms the predicted changes in the external environment and the expected goals of improving the efficiency of functioning and development of construction production in various operating conditions; a logical inference module in which, based on the information received at the input of the subsystem and the knowledge representation model, recommendations are automatically generated for the decision maker; a module for synthesis and analysis of the current problem situation designed to build a formal description of problem situations arising at the control object; a module for extracting a problem from the environment and selecting the best alternative action; a linguistic processor used to organize a dialog mode of communication between the decision maker and a data processing and decision support subsystem. The article pays special attention to the methods of solving various problems by the logical inference module, which is the basic element of the decision support subsystem. In particular, the main problems that a decision maker faces under uncertainty are defined and effective ways to overcome them are shown. As an example, typical elements of knowledge representation in the goal base are constructed on a situational basis, which is one of the main modules of the data processing and decision support subsystem in the process of managing construction production in an unstable environment.

   This paper discusses the development of software for the automation of the design of robotic technological complexes (RTC) and the control of industrial equipment in their composition — robots and tooling devices. The concept of creating a digital entity of robotic production and its integration with real equipment in the form of a digital twin is presented. This concept is the basis of the IndustrialKit platform, which provides developers with the necessary universal and unified tools for the formation of various software and hardware for designing production, as well as preparing control algorithms for robotic equipment and process control. The most complete implementation of the IndustrialKit toolkit is presented in the application for designing, modeling and controlling RTC — Robotic Complex Workspace (RCWorkspace). The article considers the technological operation of automatic assembly of splined joints, widely used in mechanical engineering. The presented methods can significantly simplify the process of developing and implementing new technical solutions in production complexes. Unification of methods of interaction between devices and the introduction of a system of abstractions helps to improve the organization of production, increase convenience for developers, operators and end users. Unification also involves the creation of unified interfaces for managing and monitoring various equipment, a generalized model of the production complex, and expandability through standard modules. The paper examines examples of the application of the developed software solutions and presents the results of their integration in real production conditions.

   Today, there are many practical tasks that require hovering near a selected point for long periods of time in windy conditions. Most of the existing solutions in this area are based on the use of satellite navigation or similar systems designed to determine the absolute spatial position of the aircraft relative to the ground. This paper proposes a novel method for hovering implementation based on distance measurement to a target point using a minimal set of sensors.The paper investigates the influence of controller parameters on the flight trajectory and proposes a method for control system tuning. Finally, the promising application areas for the proposed methods are analyzed: radio retransmission, swarm control, emergency return-to-home and autonomous soaring.