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Complex systems : relationships between control, communications and computing
Dimirovski G., Springer International Publishing, New York, NY, 2016. 652 pp. Type: Book (978-3-319288-58-1)
Date Reviewed: Oct 16 2017

This collection of papers primarily discusses the complexities of control systems; communication and computing are discussed as more minor topics. It includes five loosely coupled parts. Prior to Part 1, it starts with a comprehensive introduction, “Foreword: Fascinating Ideas on Complexity and Complex Systems Control.” Therein, the editor provides a general view about the science of control and the complexities of the technology in this era. An interwoven historical, social, and scientific discussion is provided with plenty of significant references.

Part 1, “Control and Supervision for Complex Networks and Systems,” is composed of six chapters on different themes of control systems. It starts with a discussion about the role of diagnosis in fault tolerance control, as well as diagnosis and prognosis roles in nonlinear and complex systems. Next, with the supervisory control synthesis lemmas, methods for using and modeling application systems are considered. Investigation of the output synchronization of nonlinear dynamic network systems by utilizing the passiveness of the nodes in the network is another topic. Propounding policies about maximization of aggregate network performance is the main lemma of another chapter. The next paper discusses real-time electricity price calculation, considering the possibility of its storage and generation, to gain performance during energy consumption. Finally, the extraction of conditions for strict input feed-forward, output feedback passification with time-varying delays in switching systems is investigated.

Part 2, “Machine Intelligence and Learning in Complex Control Systems,” begins with a strange and sophisticated idea: equipping robots with a live human and/or animal brain. Robotic-assisted upper limb stroke rehabilitation with iterative learning control is the following topic. Next, psychophysiological issues in human-machine cooperation that exist for human operators are discussed. Research about network analysis--considering air travel in the US, based on choosing good network parameters, covering the network structure, and dynamism--has been accomplished as well. Investigations about the control of complex nonlinear mechatronics systems with uncertainties in interconnections and subsystem gains are treated next. Finally, this part finishes with emphasis on the influence of artificial neural networks (ANNs) for data processing, mathematical modeling, and artificial intelligence and its application in social and economic systems.

“Control and Supervision of Complex Mechanical Structures and Robots” is the title of Part 3. First, the issue of disturbance of a robot’s walking or gait in the prospective interactions of humanoid robots and the human environment is discussed. Next, with mathematical modeling of large-space structures, a new adaptive control algorithm is proposed. A mathematical analysis is provided for the hydraulic seismic isolator test rig to demonstrate a more efficient nonlinear feedback control mechanism. Multirobot navigation and obstacle avoidance with artificial force potential fields is the main theme of the next chapter. With a fault management theme, in a sensor/actuator environment, the next paper investigates the utilization of a robust adaptive Kalman filtering method for fault-tolerance policies. A technical report about the unmanned aerial vehicle, which describes its navigation guidance and control algorithms, is the last chapter in this part.

Part 4: “Control and Supervision in Multi-Agent and Industrial Systems,” starts with a discussion about distributed supervision in multiagent network systems management. The topic is discussed with a distributed command governor policy and sequential and parallel methods. Agent cooperation is the main theme of the next investigation; therein, Petri nets are deployed for modeling the interactions of agents by using modularity and supervision principles. Research about using distributed agreement in a multiagent dynamic system, wherein limited local information is available for the agents, is the subject of the next paper. A discussion about fault-detection techniques and methods to upgrade their performance using monitoring cells for embedded control systems is the main subject of the next report. Considering an industrial thermal process as a use case, the modeling of an advanced predicative control method is treated in another chapter. Finally, to model and predict complex systems behaviors, for which initial prior knowledge is poor, time variant, or nonlinear, the last paper investigates the appropriateness of an evolving Gaussian process model for improved closed-loop control scenarios.

Part 5, “Novel Control Ideas and Variable-Structure Systems Control,” discusses different aspects of sliding control systems. First, the problem of closed-loop control systems with unknown disturbance and hard geographic boundaries is discussed, reducing the problem to simpler open-loop systems by approximation of general impulse control inputs with higher derivatives of delta functions. Next, methods to minimize the effect of unmatched disturbance in linear dynamic control systems by developing an efficient sliding manifold design are investigated. Sliding mode control techniques are evaluated for antilock braking systems with nonlinear and uncertain dynamics, and experimental results express their effectiveness in the following paper. The next paper discusses “Switching Frequency Optimization of DC/AC Inverters Using Sliding Mode.” By using a discrete-time sliding mode control algorithm, the next paper tries to achieve a high-quality control system with new combined disturbance compensation. Finally, Part 5 finishes with a chapter on control systems for mechatronic applications with continuously variable operating conditions, using modulus optimum methods and their extensions.

Regarding concerns about the reliability, correctness, and efficiency of the proposed ideas, there is no sign that the papers have been peer reviewed, which is typical of edited books. Although the book provides great variety and versatility, covering control-related topics like synchronization and stability in nonlinear systems, robotics, humanoid robots, multiagent distributed supervision, fault management topics, and predictive and adaptive control mechanisms, this presumed level of review should be noted.

Reviewer:  Mohammad Sadegh Kayhani Pirdehi Review #: CR145589 (1712-0766)
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