模糊理论和神经网络的基础与应用.pdf
模糊理论和神经网络的基础资料,相关知识说得较明白易懂。模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)中国计算机学会学术著作丛书模糊理论和神经网络的基础与应用Introduction to Fuzzy Theory andNeural Networks and Their Application赵振宇徐用恐著清华大学出版社广西科学技术出版社模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)(京)新登字158号(桂)新登字06号内容简介模糊理论和神经网弊是近年来得到迅速发展的嘶兴学料,它们的应用和影响己经遍及人工智能算机科学自动控制、专家系统信息科学、 CAD/CAN医疗诊断、经济等部门和领域本书系统驰论述了模糊理论和神经网络的基本理论、方法,从统一的工程角度综合分析了两大学科的最新成果,研究动向以及两者交叉部分中的前沿研究并介绍了高技术的应用实例。全书非14章,分三大都分第一部分为模糊理论的基础、建模方法和实际应用第二部升为神经网将的基本理论罔络学习方法和典型实倒第三部分讨论了模棚系统和神经网络系统的异同、融合和相互转换方法,本书还提供了大暈劑颞,以便读者自己模伤实践加深理解。本书可供白动控制计算机、信号信息处理、电路与系统、系綻工程等专业的高校师生利科技人虽遄用版权所有,醐印必究。本书封面貼有消华大学出版社激光防伪标签,无标签者不得销嘗肉书在版編目(CIP數据模糊理论和神经网络的基础与应用=Ⅰ NTRODUCTION TO FUZZY THEORY ANDNEURAL NETWORKS AND THEIR APPLI CATTON/赵振宇,徐用懋著.一北京:清华大学出版社,1995.19〔中国计算机学会学术者作丛书IsHN7-302-02061-2I.模r.①赵…闪徐…】,①模糊数学-应用-计算机网络②神经网络应川计算机网终Ⅳ.TP393中国版本图书馆CIP数据核字(95)第23616号出版者:清华大学出版社(北京清华大学校内,邮编100084)西科学技术出版社(厂西南宁河堤路14号,邮编530021印刷者:北京市清华园印刷厂发行者:新华书店总店北京科披发行所开本:787×1092116印张;13.75字数:324千字版次:i996年6月第1版199日年6月第1次印刷号:IN7-302-020612/TP·958印数:001-4000定价:16.00元模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)清华大学出版社广西科学抆术出版社计算机学术著作出版基金评审委员会主任委员张效祥副主任委员周远清汪成为委员王鼎兴杨芙清李三立施伯乐徐家福夏培肃董韫美张兴强徐培忠模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)出版说明近午来随岩微电子和计算相技术渗透到各个技术领域,人类正在步入一个技术迅插发展的新时期。这个新时期的主要标志是计算机和信息处理的广泛应用。计算机在改造传统产业实现管理自动化促进新兴产业的发展等方面都起着重要作用,它在现代化建设中的战略地位愈来盒明显。算机科学与其它学科的交叉又产生了许多新学科推功着科学技术向更广阔的领域发展,正在对人类社会产生深远的影响科学技术是第一生产力。计算机科学技术是我国高科技领域的一个重要方面。为了推动我国计算机科学及产业的发展,促进学术交流,使科研慮果尽快转化为生产力华大学出版杜与广西科学技术出版社联合设立了“计算机学术著作基金”,旨在支持和员科技人员,提写高水平的学术著作,以反映和推广我国在这一领域的最新成果计算机学术著作出版基金资助出版的著作范国包括:有重要理论价值或重要应用价值的学术专著计算机学科前沿探索的论著推动计算机拔水及产业发的专著;与计算机有关的交叉学科的论蓍有较大应用价值的工具书世界名著的优透翻译作品。凡经作者本人申请,计算机学术著作出版基金评审委员会评牢通过的著作,将由该基金资助出版,出版社将努力徹好出版工作基金还支持两社列选的国家高科技葷点图书和国家教委重獻图书规划中计算机学科领域的学术著作的出版为了做好选题工作出版社特邀请“中国计算机学会”“中国中文信息学会”帮助做好组织有关学术普作丛书的列选工作。热诚希望得到厂大计算机界同仁的支持和帮助清华大学出版社计算机学术著作出版基金办公室西科学技术出版社1992年4月模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)丛书序亩计算机是当代发展最为迅猛的科学技术其应用几乎已深入到人类社会活动和生活的一切领域大大提高了社会生产力引起了经济结构社会结构和生活方式的深刻变化和变革,是最为活跃的生产力之一。计算机本嘉在国际范围内已成为年产值达250亿美元的巨大产业国际争异常剧烈,预计到本世纪末将发展为世界第一大产业。计算帆科技具有极大的综合性质,与众多科学技术相交叉而反过来又渗入更多的科学技术,促进它们的发展。计算机科技内容十分丰富学科分支生长尤为迅速,日新月异,层出不穷。因此在我国计算机科技尚比较落后的情况下加强计算机科技的传播实为当务之急。中国计算机学会一直把出版图书刊物作为学术动的重要内容之一。我国计算机专家学者通过科学实践做出了大量成果积累了丰富经验与学识。他们有撰写著作的大积极性,但相当时期以来计算机学术著作出于印数不多,出版往往退到不少困难,专业性越强有深度的著作出版难度越大最近清华大学出版杜与西科学枝术出版社为促进我国计算机科学技术及产业的发椎动计算机科技著作的出版工作,特设立“计算机学术著作出版基金”,以支持我国计算机科技工作者撰写高水平的学术著作并将资助出版的著作列为中国计算机学会的学术荷作从书我们十分盒视这件事,并三把它列为学会本屈理事会的工作要点之一。我们希望这一系划丛书能对传播学术成果,交流学术愿想促进科转化为生产力起到良好作月能对我国计算积科技发展具有有益的导向意义,也希望我国广大学会会员和计算机和技工作者括海外工作和学习的神州学人们能积极投稿,出好这一系列丛书。中国计算机学会1992年4月20日模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)Introduction to Fuzzy Theory, Neural Networks sand Their Applicationsby Zhen-Yu Zhao and Yong-Mao XuThe fields of fuzzy sets and neural networks have made rapid progress in recentyears, This book gives a comprehensive presentation on recent developments in boththeory and applications, Special emphasis is placed on basic concepts, system designnalysis and development methods of fuzzy systems and neural network systemsThis hook consists of three majar parts. The first two parts present the fundamen-tals and real world applications of fuzzy sets theory and ueural nel works, respectivelyThe last part addresses various state-of-the-art techniques o combine fuzzy logic withneural networks eliminating the disadvantages of each of these technologies while effec-tively combining their advantageshis book can be used as the text for an advanced course on fuzzy theory and neuraletworks. It is also a valuable reference to all researchers and engi eers interested inthese subjects模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)序非高兴得知赵振宇博士和除月懋教投巴完成他们的合著《棋糊理论利神兰网络的基础与应用》近年来模糊理论和神经网络提供了行之有效的方法来解决在特定环境以及采用定性描述方式的多冒的设计中的各种间题这本节从模糊埋论利神网络的基出发,综合分析和归纳了两领域的研究成果,并附有大量的应用实例赵博士和徐教授对棋糊系统和神经网络研究较深,这次他们对此专题的合著正合时宜。此外,赵博土还利用他精通语和英讦的特长,充分收纳了这两大领域的最新发展和动向。二十余年前,L, A. Zadeh教提出的模棚集合哩论已在工程的众多领域中得到广泛深入的研究。对于实际操作人员,即没有精确的数据和过程模型他也能操作和控制复杂的过程。而模糊理论正是将掘作人员的操作经骏鞍换成可以在计算机上运行的掉制算法以便实现模糊控制樸糊控制已泛应用于水质控制她铁操作汽车减震和牵引以及摄泉机聚焦等系统中。人工神经网络是由大量并行分布、有机相联的神经元构成的计算机构,对这种计算机构的研究受启于生物神纸系统的学习能力和并行机制。近年米,对神经网络方面的研究受到愈来愈密切的关注,特别在人工智能、心理学、工程学和物理学等学科中显得空前的活跃。另外,应用神经网络技术的商业产品亦愈来愈多,典型的例子如:语言识别系统爆炸检测器和飞机座位订票系统等绒合模糊理论、神经网络以及其它智能算法(如人上邀传斧法)的研究和应用将有卡常广阔的前景。一个明显的例子就是结合神网络的学习能力来训练基于模糊规则的系统。此书在这方面已有深刻的反映。作者正从统一的角度综合闯述了惯糊理论和抻经网络的重大课题和应用。我相信,此书对行志于模糊理论和神纸网络研究的读者是有裨益Masayos hi tomizuka美圈加州怕党莱大学机械系教授模糊理论和神经网络的基础与应用(仅供交流学习使用,请勿用于商业交易,否则后果自负)FOREWORDI am very pleased that Dr. Zhen-Yu Zhao and Professor Yong-Mao Xu have completed theit book," Introduction to Fuzy Theory, Neural Networks, and Their Appli-cations. In recent years, the fuzzy theory and neural networks have demonstrated theiryaludc for providing solutiont ta problems in unccrtain and imprecise environments a3well as to those with multi-design objectives, which may be stated in a qualitative man-ner. This book starts with Fundamentals of fuzzy theory and neural networks, developsthe ideas for comprehensive coverage of the two sub jects and presents their applications. Having rich rcscarch experienec in fuzzy systcms and neural nerworks, Dr. Zharand Professor Xu make an ideal team to write a book on these subjects. D. Zhao hastaken an advantage of his mastery of two ianguages, Japanese and English. Many recentimporcant developmerts in fuzzy thcory and neural networks havc bcen rcportcd in thesctwo languagesThe theory of fuzzy set&, established by Professor L, A. Zadeh about 20 years agohas been extensively studied in varicus fields of engineering. It is well known that hu-man beings have an ability to operate and control complicated processes without havingprecise data and plant models, Fuzzy theary has been shown to translate such knowldge of human beings into computer implementable control algorithms which are ronmonly called"fuzzy control. "Fuzzy control has been used in many practical applicalionssuch as water quality control, subway operation systems, automotive suspension andraction control and camcorder fotusing and stabilizationArtificial neural networks are computing architectures that consist of massiveparallel interconnections of simple neural proCessors. The study of such architectureshas becn inspired by thc learning abilities and parallelism of biological nervous syatemsIn recent years, neura! networks have received considerable Attention and are now beingactively explored in the fields of artificial intelligence psychology engineering andphysics. Neural networks have been applied to many conmercial products such asspeech recognition systems, explosive detectors and airline seat allocation systerms.Ambitned use af fuzzy theory neural networks, as well as other computational in-telligence algorithms such as genetic algotithms, has heen recognized as being promising, An obvious example is the training of fuzzy rule-based systems ly using the learm
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UDS诊断程序,整车网络测试应用程序(PCAN-UDS API – User Manual.pdf)
UDS_PCAN_APIA应用程序,整车网络诊断应用程序,超值!(PEAK CAN UDS Application Programming InterfaceUser Manual.pdf)PCAN-UDS APi- User ManualContents1 PCAN-UDS API Documentation2 Introduction2.1 Understanding PCAN-UDS2.2 Using PCAN-UDS2.3 Features7888992.4 System Requi rements2.5 Scope of supply3 DLL API Reference3.1 Namespaces103.1.1 Peak Can uds3.2 Units3.21 PuDs Unit3.3 Classes3.3.1 UDSApi3.3.2 TUDSApi3. 4 structures1022334553.4.1 TPUDSMsg3.4.2 TPUDSSessionInfo3.43 TPUDSNetAddrinfo3.5 Types213.5.1 TPUDSCANHand]e223.5.2 TPUDSstatus233.5.3 TPUDSBaudrate253.5.4 TPUDSHWType283.5.5 TPUDSResult303.5.6 TPUDSParameter313.5.7 TPUDSService393.5.8 TPUDSAddress423.5.9 TPUDSCanId443.5.10 TPUDSProtoco l463.5.11 TPUDSAddressingType483.5.12 TPUDSMessageType493.5.13 TPUDSSVCParamDSC503.5.14 TPUDSSVCParamER513.5.15 TPUDSSVCParamcc533.5.16 TPUDSSVCParamTP543.5.17 TPUDSSVCParamcdTCS543.5.18 TPUDSSvCParamROE553.5.19 TPUDSSvCParamROERe commendedserviceID573.5.20 TPUDSSVCParamLC583.5.21 TPUDSSvcParamLCBaudrateidentifier593.5.22 TPUDSSVCParamDI603.5.23 TPUDSSVCParamRDBPI643.5.24 TPUDSSVCParamDDDI653,525 TPUDSSyCParamRDTCI66PCAN-UDS APi- User Manual3.5.26 TPUDSSVCParamRDTCI DTCSVM6935.27 TPUDSSYCParamIOCBI703.5.28 TPUDSSvCParamRC3.5.29 TPUDSSVCParaMRC RID723.6 Methods733.6.1 Initialize753.6.2 Initialize(TpudsCanhandle, tpudsbaudrate)3.6.3 Initialize(TPUdsCANhandle, TPUdSBaudrate, TPudSHWType, UInt32,UInt16)83.6.4 Uninitialize813.6.5 Setvalue843.6.6 Setvalue (TPUdsCanhandle, tpudsparameter, UInt32, uint32)843.6Setvalue (TPUdSCaNHandle, TPUDSParameter, stringBufferUint32)873.6.8 Setvalue (TPUDSANHandle, TPUDSParameter, Byte[], Uint32)883.6.9 Setvalue(Tpudscanhand le, tpudsparameter, IntPtr, UInt32)3.6.10 Getvalue933.6.11 Getvalue (TPUDSCANHandle, TPUDSParameter, StringBufferUint32)933.6. 12 Getvalue (TPUDSCANHandle, tpudsparameter, uint32, Uint32)963.6.13 Getvalue (TPUDsCaNHandle, TPUDSParameter, Byte l], UInt32)993.6. 14 Getvalue (TPUdSCAnhandle, tpudSParameter, Intptr, UInt32)1013.6.15 Getstatus1043.6.16Read1073.6.17 Write3.6.18 Reset1143.6.19 WaitForsing lemessage1163. 6.20 WaitFormultiplemessage1203.6.21 Waitforseryice1263.6.22 WaitForservicefunctional1303.6.23 ProcessResponse1333.6. 24 SvCDiagnosticsessioncontro l1383.6.25 SVCECUReset1413.6.26 SvcSecuri tyAccess1453.6.27 SvCCommunicationControl1483.6.28 SvcTesterpresent1523.6.29 SvcsecuredDataTransmission1553.6.30 SvcControlDTCSetting1583.6.31 SvcResponseonEvent1623.6.32 SVCLinkcontrol1663.6.33 SVCReaddatabyidentifier1703.6. 34 SvcReadMemory ByAddress1733.6.35 SvcReadscal ingdatabyidentifier1773.6. 36 SvcReadDataByperiodicIdentifier1803.6.37 SvcDynamicallydefinedataIdentifierDBID1843.6.38 SvcDynamicall ydefineDataIdentifierDBMA1883.6. 39 SvcDynamical lyDefineDataIdentifierCDDDI1933.6.40 SvcWri teDataByidentifier1973.6. 41 Svcwri teMemory byaddress2003.6.42 SvcClearDi agnosticInformation2053. 6. 43 SVCReadDTCInformation2083.6.44 SvCReadDTCInformationRDTCSSBDTC2113. 6. 45 SvCReaddTCInformationRDTCSSBRN215PCAN-UDS APi- User Manual3. 6.46 SVcReadDTCInformationReportExtended2183.6. 47 SvcReadDTCInformationReportseverity2213,648 SvcReaddTCInformationrsIodtc2253. 6.49 SvCReadDTCInformationNoParam2283.6.50 SvcInputout put contro byidentifier2323. 6.51 SyCRoutineControl2363.6.52 SvCReques tOwn load2393.6.53 SvcRequestUp load2433. 6.54 SVCTransferData2483.6.55 SvCRequestTransferExit2513.7 Functions2563.7.1 UDS Initialize2583.7.2 UDs Uninitialize2593.7.3 UDs Setvalue2603.7.4 UDs Getvalue2613.7.5 UDS Getstatus2623.7.6 UDS Read2643.7.7 UDs Write2653.7.8 UDs Reset2663.7.9 UDS_WaitForsinglemessage2673.7.10 UDS_waitForMultipleMessage2693.7.11 UDs Wai ce2723.7.12 UDS WaitForserviceFunctional2733.7.13 UDS_ Processresponse2753.7.14 UDS_SvcDiagnosticSessionControl2773.7.15 UDS SVCECUReset2783.7.16 DS_SVCSecuri tyAccess2803.7.17 UDS SVCCommunicationcontrol2813.7.18 UDs SvCTesterpresent2833719 UDS SvCSecuredDatatransmission2843.7.20 UDS_SvCControlDTCSetting2863.7.21 UDS_SVCResponseonEvent2873,7.22 UDs SVCLinkcontrol2893.7.23 UDS_SvcReaddatabyidentifier2913.7.24 UDS_SvcReadMemory byAddress2923.7.25 uDs_ SvcReadscalingdatabyidentifier2943.7.26 UDS_SvCReadDataBy Periodi iDentifier2953.7. 27 UDS_SVcDynamical l yDefineDataIdentifierDBID2973.7.28 UDS_SvcDynami call ydefinedataIdentifierDBMa2993.7.29 UDS_SvcDynami cal l yDefineDataIdentifierCDDDI3013. 7.30 UDS_SvcWriteDataByIdentifier3023,7.31 UDs SvcWri teMemorybyaddress3033.7. UDS_SvcClearDiagnosticInformation3053.7.33 UDS SVCReadDTCInformation3073.7. UDs SyCReadDTCInformationRdtCSSBDTC3093.7.35 uDs SvCReadDTCInformationRdtcssbrn3103.7.36 UDS_ SvCReadDTCInformationReportExtended3113.7.37 UDS_SvcReadDTCInformationReportseverity3133.7.38 UDS SVCReadDTCInformationRSIODTC3153,739 UDS SVCReadDTCInformationNoParam3163. 7.40 UDS_SvcInputoutput contro l byIdentifier3,7. 41 UDs SyCRoutinecontrol319PCAN-UDS APi- User Manual3.7.42 UDS_SvcRequestDown load3213.7.43 UDS_ SVCRequestupload32337.44 UDS SyCTransferData3253.7.45 UDS_SVCRequestTransferExit3263.8 Definitions3293.8.1 PCAN-UDS Handle Definitions3293.8.2 Parameter value defintions3313.8.3 TPUDSMsg Member value Definitions3323.8.4 PCAN-UDs Service parameter Definitions3334 Additional Information3354.1 PCAn Fundamentals33542 PCAN-Basic3364.3 UDS and ISO-TP Network Addressing Information3384.3.1 ISO-TP network addressing format3384.4 USing Events3405 License Information3426PCAN-UDS APi- User Manual1 PCAn-UDS APi DocumentationWelcome to the documentation of PCan-UD APl, a PEAK CAN API that implements ISo 15765-3, UDS in CANan international standard that allows a diagnostic tester(client) to control diagnostic functions in an on-vehicleElectronic Control Unit(ECU or serveIn the following chapters you will find all the information needed to take advantage of this aPlIntroduction on page 8DLL API Reference on page 10Additional Information on page 335PCAN-UDS APi- User Manual2 IntroductionPCAN-UDS is a simple programming interface intended to support windows automotive applications that usePEAK-Hardware to communicate with Electronic Control Units(ECU) connected to the bus systems of a car, formaintenance purpose2.1 Understanding PCAN-UDSUDS stands for Unified Diagnostic Services and is a communication protocol of the automotive industry. thisprotocol is described in the norm iSo 14229-1The UDS protocol is the result of 3 other standardized diagnostic communication protocolsIS0 14230-3, as known as Keyword 2000 Protocol(KWP2000L IS0 15765-3, as known as diagnostic on CANISo 15765-2, as known as ISo-TPThe idea of this protocol is to contact all electronic data units installed andCAN OBDninterconnected in a car, in order to provide maintenance, as checking for errors,actualizing of firmware, etcUDS is a Client/Server oriented protocol. In a UDS session(diagnostic session ),aprogram application on a computer constitutes the client(within UDS, it is calledPCAN-UDSTester), the server is the ecu being tested and the diagnostic requests from client toserver are called services. The client always starts with a request and this ends with apositive or negative response from the server(ECuSince the transport protocol of UDS is done using ISo-TP, an international standardPCAN ISOTPfor sending data packets over a CAN Bus, the maximum data length that can betransmitted in a single data-block is 4095 bytes.PCAN-UDS API is an implementation of the Uds on CAN standard the physicalcommunication is carried out by PCAN-Hardware (PCAN-USB, PCAN-PCI etc )throughPCAN-Basithe pCAN-ISo-TP and PCAN-Basic API (free CAN APls from PEAK-System). Because ofthis it is necessary to have also the pCAN-1S0-tP and PCAN-Basic APls(PCAN-ISO-TP. dll and PCAN Basic. dll) present on the working computer where UdS is intended tobe used. PCAN-UDS, PCAN-ISO-TP and PCan-Basic apis are free and available for allFigure 1: Relationship of thepeople that acquire a pCAn-hardware2.2 Using PCAN-UDSSince PCAN-UDS API is built on top of the PCAN-1So-TP API and PCAN-Basic APls, it shares similar functions. Itoffers the possibility to use several PCAn-UDS (PUds) channels within the same application in an easy way. Thecommunication process is divided in 3 phases: initialization interaction and finalization of a puds-channelInitialization In order to do UDS on CAN communication using a channel, it is necessary to initialize it first. Thisis done by making a call to the function UDS_ Initialize (class- method: InitializePCAN-UDS APi- User ManualInteraction: After a successful initialization a channel is ready to communicate with the connected can bus.Further configuration is not needed the 24 functions starting with UDS Svc(class-methods: starting with Svccan be used to transmit UdS requests and the utility functions starting with Uds WaitFor(class- methodsstarting with WaitFor) are used to retrieve the results of a previous request. the Uds read and UDS Write(class-methods: Read and Write are lower level functions to read and write UDs messages from scratch. Ifdesired, extra configuration can be made to improve a communication session, like service request timeouts orISo-TP parametersFinalization: When the communication is finished, the function UDS_ Uninitialize(class-method: Uninitializeshould be called in order to release the puds-channel and the resources allocated for it. In this way thechannel is marked as free"and can be used from other applications23 FeaturesI mplementation of the UDS protocol(iSo 14229-1)for the communication with control unitsWindows DLLs for the development of 32-bit and 64-bit applicationsPhysical communication via Can using a Can interface of the pcan seriesUses the pcan-Basic programming interface to access the can hardware in the computerUses the pCAn-ISo-TP programming interface(iso 15765-2)for the transfer of data packages up to 4095bytes via the can bus2.4 System Requi rementsL- Windows 10, 8.1, 7(32/64-bitAt least 512 Mb ram and 1 GHz CPUPC CAN interface from peak-SystemPCAN-Basic APlL PCAN-SO-TP API2.5 Scope of supplyInterface DLL, examples, and header files for all common programming languagesDocumentation in pdf formatDocumentation in HTML Help formatPCAN-UDS APi- User Manual3 DLL API ReferenceThis section contains information about the data types (classes, structures, types, defines enumerations)andAPI functions which are contained in the pcan-uds api3.1 NamespacesPEAK offers the implementation of some specific programming interfaces as namespaces for the. NEtFramework programming environment. The following namespaces are available:NamespacesNameDescription}PeakContains all namespaces that are part of the managed programming environment fromPEAK-SystemPeak CanContains types and classes for using the PCan aPi from PEAK-SystemPeak Can. LightContains types and classes for using the PCAn-Light API from PEAK-SystemPeak Can basicContains types and classes for using the pcan-Basic APl from PEAK-SystemPeak Can CcpContains types and classes for using the CCP API implementation from PEAK-SystemPeak Can XcpContains types and classes for using the XcP aPi implementation from PEAK-SystemPeak Can. Iso TpContains types and classes for using the pCAN-IS0-TP aPl implementation from PEAKSystelPeak Can, UdsContains types and classes for using the PCan-UDS API implementation from PEAK-SystemPeakCan.Obdll Contains types and classes for using the PCAN-OBDIll API implementation from PEAKSystemt}Peak. LinContains types and classes used to handle with lin devices from PEAK-Systemt}Peak. RP1210AContains types and classes used to handle with can devices from PEak-System through theTMC Recommended Practices 1210, version A, as known as RP1210(A3.1.1 Peak Can UdsThe peak Can. Uds namespace contains types and classes to use the pcan-UdS aPi within the. NET Frameworkprogramming environment and handle pcan devices from peak-SystemRemarks: Under the delphi environment, these elements are enclosed in the puds-Unit. the functionality of allelements included here is just the same. the difference between this namespace and the delphi unit consists inthe fact that delphi accesses the Windows api directly it is not managed code)AliasesAliasDescriptionTPUDSCANHandle Represents a pCAn-UDS channel handleClassesClassDescription像曰UDSApiDefines a class which represents the PCAN-UDS API10
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