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This paper aims to focus on the design of a decentralized observation and control method for a class of large-scale systems characterized by nonlinear interconnected functions that are assumed to be uncertain but quadratically bounded.

Sufficient conditions, under which the designed control scheme can achieve the asymptotic stabilization of the augmented system, are developed within the Lyapunov theory in the framework of linear matrix inequalities (LMIs).

The derived LMIs are formulated under the form of an optimization problem whose resolution allows the concurrent computation of the decentralized control and observation gains and the maximization of the nonlinearity coverage tolerated by the system without becoming unstable. The reliable performances of the designed control scheme, compared to a distinguished decentralized guaranteed cost control strategy issued from the literature, are demonstrated by numerical simulations on an extensive application of a three-generator infinite bus power system.

The developed optimization problem subject to LMI constraints is efficiently solved by a one-step procedure to analyze the asymptotic stability and to synthesize all the control and observation parameters. Therefore, such a procedure enables to cope with the conservatism and suboptimal solutions procreated by optimization problems based on iterative algorithms with multi-step procedures usually used in the problem of dynamic output feedback decentralized control of nonlinear interconnected systems.

This study aims to investigate the rule‐based decentralised control framework for a swarm of UAVs carrying out a cooperative ground target engagement mission scenario.

This study is to investigate the rule‐based decentralised control framework for missions which require high‐level cooperation between team members. The design of the authors’ control strategy is based on agent‐level interactions. Different to a centralized task assignment algorithm, the cooperation of the agents is entirely implicit. The behaviour of the UAVs is governed by rule sets which ultimately lead to cooperation at a system level. The information theoretic measures are adopted to estimate the value of possible future actions. The prediction model is further considered to enhance the team performance in the scenario where there are tight coupled task constraints.

The simulation study evaluates the performance of the decentralised controller and compares it with a centralised controller quantitatively. The results show that the proposed approach leads to a highly cooperative performance of the group without the need for a centralised control authority. The performance of the decentralised control depends on the complexity of the coupled task constraints. It can be improved by using a prediction model to provide information such as the intentions of the neighbours that is not available locally.

The achievable performance of the decentralised control was considered to be low due to the absence of communication and little global coordinating information. This study demonstrated that the decentralised control can achieve highly cooperative performance. The achievable performance is related to the complexity of the coupled constraints and the accuracy of the prediction model.

This paper aims to address the problem of formation control for spacecraft formation in elliptic orbits by using local relative measurements.

A decentralized formation control law is proposed to solve the aforementioned problem. The control law for each spacecraft uses only its relative state with respect to the neighboring spacecraft it can sense. These relative states can be acquired by local relative measurements. The formation control problem is converted to n stabilization problems of a single spacecraft by using algebraic graph theories. The resulting relative motion model is described by a linear time-varying system with uncertain parameters. An optimal guaranteed cost control scheme is subsequently used to obtain the desired control performance.

Numerical simulations show the effectiveness of the proposed formation control law.

The proposed control law can be considered as an alternative to global positioning system-based relative navigation and control system for formation flying missions.

The proposed decentralized formation control architecture needs only local relative measurements. Fuel consumption is considered by using an optimal guaranteed cost control scheme.

The purpose of this paper is to explore a manufacturer's strategy to coordinate efforts of multiple suppliers' involvement in the product development process. The paper also proposes critical factors in determining the appropriate coordination strategy.

Based on the synthesis of the literature and relevant theories, a typology of coordination strategies is developed. Propositions are developed pertaining to the performance implications of the coordination strategies and the key determinants of the effectiveness of the coordination strategies.

Four ideal types of coordination strategies are: centralized‐programming, centralized‐feedback, decentralized‐programming, and decentralized‐feedback. Prior research and recently reported industry examples indicate that a manufacturer's coordination with multiple suppliers varies in terms of the information‐processing structure and the locus of control. The effectiveness of a manufacturer's coordination strategies is influenced by the extent of component modularity, product complexity, technology uncertainty, and the technical capability of suppliers.

The four coordination strategies involve trade‐offs on certain performance dimensions. Decentralized‐programming promotes process efficiency, while centralized‐feedback facilitates problem solving. Centralized‐programming favors integrative product design, while decentralized‐feedback favors innovation from supplier's technical expertise.

While research on supplier involvement in product development has primarily focused on a single supplier's integration in the process, this paper extends understanding of multi‐organizational coordination by applying information‐processing decision‐making theories to the product development context.

In this paper, we present a planning and control framework for manufacture‐to‐order environments that enables and supports agile‐based discrete parts manufacturing. The characteristic elements of our framework are that it is decentralized, logistics and business oriented, and that it recognizes that more detailed and more reliable data become available as orders advance through the different manufacturing stages and departments. Furthermore, it is a generic framework in that it applies to any discrete parts manufacturer, ranging from an engineer‐to‐order to an assemble‐to‐order company. We also point out the necessity of an organizational structure that supports and reinforces the framework. Particularly, we discuss the adoption and implementation of the new framework by creating multi‐disciplinary teams and structural and operational supporting groups to strengthen the organization for agile manufacturing.

Sets out to stress the need to adjust performance management to the deficiencies inherent in the output controls within The Netherlands defence forces.

By analysing the management control reforms of the recent past, the paper assesses the scope for a “decision revelation” within the Defence organisation. It develops a framework for disclosure of decentralised decision making focusing on the allocation of labour time within the fixed labour force. Recent developments in the Defence organisation units for officer education and training are used to illustrate the framework.

Management control systems fail because of weaknesses in the management accounting information underlying them. Management accounting information with respect to defence expense budgets does not grasp the relevant decentralised decision making to be controlled. This decision making is primarily concerned with the opportunity costs of the allocation of time within the labour force of the Dutch Department of Defence.

Variability of costs should be disclosed in terms of labour time information. Budgetary accounting restricted to the department's (fixed) expenses on military personnel will not reveal for which purposes defence money is actually spent.

Outlines a framework for decision revelation as a base for management contracting between central management and lower level organisation units.

The successful application of the group of unmanned aerial vehicles (UAVs) in the tasks of monitoring large areas is becoming a promising direction in modern robotics. This paper aims to study the tasks related to the control of the UAV group while performing a common mission.

This paper discusses the main tasks solved in the process of developing an autonomous UAV group. During the survey, five key tasks of group robotics were investigated, namely, UAV group control, path planning, reconfiguration, task assignment and conflict resolution. Effective methods for solving each problem are presented, and an analysis and comparison of these methods are carried out. Several specifics of various types of UAVs are also described.

The analysis of a number of modern and effective methods showed that decentralized methods have clear advantages over centralized ones, since decentralized methods effectively perform the assigned mission regardless of on the amount of resources used. As for the method of planning the group movement of UAVs, it is worth choosing methods that combine the algorithms of global and local planning. This combination eliminates the possibility of collisions not only with static and dynamic obstacles, but also with other agents of the group.

The results of scientific research progress in the tasks of UAV group control have been summed up.

The power of information technology can be harnessed to help supply chain members establish partnerships for better supply chain system performance. Supply chain partnerships can mitigate deficiencies associated with decentralized control and reduce the “bullwhip effect”. This study illustrates the benefits of supply chain partnerships based on information sharing. For a decentralized supply chain comprising a manufacturer and a retailer, we derive the members’ optimal inventory policies under different information sharing scenarios. We show that increasing information sharing among the members in a decentralized supply chain will lead to Pareto improvement in the performance of the entire chain. Specifically, the supply chain members can reap benefits in terms of reductions in inventory levels and cost savings from forming partnerships with one another. A case study is provided for illustration.

Industry 4.0 envisions a future of networked production where interconnected machines and business processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. The paper aims to discuss these issues.

This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity and authorization of dataflow-oriented Industry 4.0 processes.

The results of a performance study indicate that private blockchains are capable of securing IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise.

This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information.

This paper investigates how macroeconomic policy and planning of large‐scale dynamic systems are approached from the cybernetic principle, as can be viewed in the interplay of information, decision and control. Some speculations about directions in large‐scale policy and planning methods are offered.