08182nam 22009255 450 991029864590332120260415135650.01-4939-0676-310.1007/978-1-4939-0676-5(CKB)3710000000269538(EBL)1968046(SSID)ssj0001372321(PQKBManifestationID)11753119(PQKBTitleCode)TC0001372321(PQKBWorkID)11302342(PQKB)10754726(MiAaPQ)EBC1968046(DE-He213)978-1-4939-0676-5(PPN)182099245(EXLCZ)99371000000026953820141031d2014 u| 0engur|n|---|||||txtccrEnvironmental Analysis by Electrochemical Sensors and Biosensors Fundamentals /edited by Ligia Maria Moretto, Kurt Kalcher1st ed. 2014.New York, NY :Springer New York :Imprint: Springer,2014.1 online resource (714 p.)Nanostructure Science and Technology,1571-5744Description based upon print version of record.1-4939-0675-5 Includes bibliographical references and index.Foreword; Preface; About the Editors; Contents of Volume 1; Contents of Volume 2; Part I: Environmental Analysis; Chapter 1: Introduction to Electroanalysis of Environmental Samples; 1.1 Electroanalysis; 1.2 A Glance into Electroanalytical Literature; 1.3 Electroanalysis in a Flash; 1.3.1 Advantages; 1.3.2 Drawbacks; 1.4 Electrochemistry and Environmental Analysis; 1.4.1 History and Present; 1.4.2 Main Topics; 1.4.3 Sampling, Sample Storage, and Pretreatment; 1.4.4 Measurements with Electrochemical Sensors; 1.5 Concluding Remarks; References; Chapter 2: Soil2.1 Introduction to Soil and Its Characteristics2.2 The Unique Nature of Soils: A Heterogeneous, Three Phase System; 2.2.1 Interactions of Biological, Chemical, and Physical Processes; 2.2.1.1 Buffering; 2.2.1.2 Filtering and Retention; 2.2.1.3 Decomposition and Soil Organic Carbon Dynamics; 2.3 Importance of Soil Analysis; 2.4 Issues Related to Soil Assessment and Testing; 2.4.1 Representative Sampling or Monitoring with Spatial and Temporal Variation; 2.4.2 Selection of Soil Analytical Methods; 2.4.3 Associated Measurements; 2.4.4 Use of Soil Test Databases and Networks2.5 Application of Proximal Soil Sensors2.5.1 Voltammetric Methods; 2.5.2 Conductometric Methods: Soil ECa; 2.5.2.1 Soil Conductivity Sensors; 2.5.3 Potentiometric Methods: Ion-Selective Electrodes; 2.5.3.1 Issues in ISE/ISFET Application; 2.5.3.2 Application: Soil Nutrient Sensing; 2.5.3.3 Nitrate, Potassium, and Phosphate Membranes and Electrodes; 2.5.3.4 Laboratory Prototype Systems for Soil Nutrient Sensing; 2.5.3.5 Field-Mobile Soil Nutrient Sensors; 2.6 Future Outlook and Considerations; 2.6.1 Considerations in Soil Nutrient Sensing; 2.6.1.1 Sensor Fusion; 2.6.1.2 Sensor Calibration2.6.1.3 Integration with Fertilizer Application EquipmentReferences; Chapter 3: Water; 3.1 Introduction; 3.2 Water Chemistry: Environmental Relevance; 3.2.1 Chemical Processes in Ambient Water; 3.2.2 Water Pollution; 3.3 Environmental Water Analysis; 3.4 Electrochemical Sensors in Water Analysis; 3.4.1 Electroanalytical Techniques; 3.4.2 Instrumental and Technological Trends; 3.4.3 Standardised Methods; 3.5 Conclusions and Outlook; References; Chapter 4: Atmosphere; 4.1 Gaseous Constituents; 4.1.1 Sulfur Oxides; 4.1.2 Nitrogen Oxides; 4.1.3 Ozone; 4.2 Atmospheric Aerosol4.3 Inorganic Aerosol4.4 Organic Aerosol; 4.5 Conclusions; References; Chapter 5: Biosphere; 5.1 Chemical and Electrochemical Sensors in Living World; 5.2 Electrochemical Sensors for Flora and Fauna on Earth; 5.3 Sensors for Monitoring Agriculture, Food, and Drug Quality; 5.3.1 Remote Spectral Sensing; 5.3.2 The Electronic Nose; 5.3.3 Electrochemical Sensors; 5.3.4 Biosensors; 5.3.5 Wireless Sensor Networks; 5.4 Future Aspects and Developments; References; Chapter 6: Extraterrestrial; 6.1 Introduction; 6.1.1 Historical Development of Electroanalytical Instruments for Mars6.2 The Phoenix Wet Chemistry Laboratory (WCL) Electroanalytical Sensor ArrayElectrochemical sensors represent the oldest type of chemical sensors and are widely present in chemical laboratories, industries, healthcare and in many aspects of our daily life. During the past few decades biosensors mimicking biological receptors for the sake of analytical assessment have emerged as an extremely important and fruitful field in fundamental and applied electroanalytical chemistry. Research and routine analysis in environmental sciences have shown that electrochemical sensors and biosensors may supply useful information for solving problems from the quite general to the highly specific, dealing with environmental pollution or many other questions in connection with (bio)geochemical cycles or fundamental environmental chemical processes. Environmental analytical chemistry is a multidisciplinary field requiring the cooperation of chemists, biochemists, physicists, engineers and many other specialists, a collaboration which defines and guarantees the development and applicability of robust and highly sensitive sensors for chemical analysis and environmental monitoring. The aim of this book is to give an overview of the role of electrochemical sensors in environmental chemical analysis and on their operating principles. It provides detailed information on the applicability of such sensors to the determination of all the different substances of environmental importance. It is designed on one hand as a textbook for students and teachers, and, on the other, as a manual for researchers and applied scientists and engineers who are fully or marginally confronted with problems in context with environmental chemistry. Due to its multidisciplinary character the book synthesizes various viewpoints of different sciences and addresses chemists, physicists, pharmacists, medical doctors, engineers and in fact all who are interested, professionally or non-professionally, in the chemistry of our environment.Nanostructure Science and Technology,1571-5744ElectrochemistryAnalytical chemistryEnvironmental monitoringEnvironmental engineeringBiotechnologyChemical engineeringElectrochemistryhttps://scigraph.springernature.com/ontologies/product-market-codes/C21010Analytical Chemistryhttps://scigraph.springernature.com/ontologies/product-market-codes/C11006Monitoring/Environmental Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/U1400XEnvironmental Engineering/Biotechnologyhttps://scigraph.springernature.com/ontologies/product-market-codes/U33000Industrial Chemistry/Chemical Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/C27000Electrochemistry.Analytical chemistry.Environmental monitoring.Environmental engineering.Biotechnology.Chemical engineering.Electrochemistry.Analytical Chemistry.Monitoring/Environmental Analysis.Environmental Engineering/Biotechnology.Industrial Chemistry/Chemical Engineering.363.706354541.37543628660660.6Moretto Ligia Mariaedthttp://id.loc.gov/vocabulary/relators/edtKalcher Kurtedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910298645903321Environmental Analysis by Electrochemical Sensors and Biosensors2514714UNINA03633nam 22005295 450 991098458240332120260605205524.09789819609505(electronic bk.)10.1007/978-981-96-0950-5(MiAaPQ)EBC31928888(Au-PeEL)EBL31928888(CKB)37744251300041(DE-He213)978-981-96-0950-5(OCoLC)1503953841(EXLCZ)993774425130004120250302d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDistributed Cooperative Control and Optimization for Multi-Agent Systems /by Qing Wang, Bin Xin, Jie Chen1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (222 pages)Intelligent Technologies and Robotics SeriesPrint version: Wang, Qing Distributed Cooperative Control and Optimization for Multi-Agent Systems Singapore : Springer,c2025 9789819609499 Introduction -- Disturbance observer-based sliding mode control for multi-agent systems with mismatched uncertainties -- Observer-based containment for a class of nonlinear multi-agent systems with time-delayed protocols -- Robust output containment control of multi-agent systems with unknown heterogeneous nonlinear uncertainties in directed networks -- Distributed event-based consensus control of multi-agent system with matching nonlinear uncertainties.This book provides a concise and in-depth exposition of distributed control and optimization problems of multi-agent systems. The book integrates various ideas and tools from dynamic systems, control theory, graph theory, and optimization to address the special challenges posed by such complexities in the environment as communication delay, topological dynamics, and environmental uncertainties. In order to deal with the mismatched uncertainties and time delay, observer-based controller and sliding mode control are developed to achieve consensus control. When there is a leader or multiple leaders in the communication topologies, containment control is required. The book studies both state and output containment for nonlinear multi-agent systems with undirected or directed networks. Furthermore, event-triggered schemes are proposed to reduce communication and computation costs. Distributed optimization for multi-agent systems is an interesting topic that has attracted more and more attention due to its wide range of applications such as smart grids, sensor networks, and mobile manipulators. In distributed optimization, the goal is to optimize the global cost function, which is the sum of all local cost functions, each of which is known only by its own local agent. Distributed nonsmooth convex optimization for multi-agent systems based on proximal operators is developed to achieve distributed optimal consensus.AutomationAutomatic controlAutomationControl and Systems TheoryAutomation.Automatic control.Automation.Control and Systems Theory.629.8Wang Qing1243072Xin Bin1437759Chen Jie1299851MiAaPQMiAaPQMiAaPQ9910984582403321Distributed Cooperative Control and Optimization for Multi-Agent Systems4326132UNINA