標(biāo)題: Titlebook: Constructions of Strict Lyapunov Functions; Michael‘Malisoff,Frédéric Mazenc Book 2009 Springer-Verlag London 2009 Lyapunov Analysis.Lyapu [打印本頁] 作者: 啞劇表演 時(shí)間: 2025-3-21 16:29
書目名稱Constructions of Strict Lyapunov Functions影響因子(影響力)
書目名稱Constructions of Strict Lyapunov Functions影響因子(影響力)學(xué)科排名
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書目名稱Constructions of Strict Lyapunov Functions網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Constructions of Strict Lyapunov Functions被引頻次
書目名稱Constructions of Strict Lyapunov Functions被引頻次學(xué)科排名
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書目名稱Constructions of Strict Lyapunov Functions讀者反饋
書目名稱Constructions of Strict Lyapunov Functions讀者反饋學(xué)科排名
作者: Amplify 時(shí)間: 2025-3-21 22:42 作者: 不朽中國(guó) 時(shí)間: 2025-3-22 02:11 作者: degradation 時(shí)間: 2025-3-22 06:54
C. Perlet,S. H. Heywang-K?brunner amplitude. It requires certain algebraic conditions on the Lie derivatives of a suitable non-strict Lyapunov function, in the directions of the vector fields that define the system. The non-strictness of the Lyapunov function is an obstacle to proving robustness, since robustness analysis typically作者: 高歌 時(shí)間: 2025-3-22 09:08 作者: 起草 時(shí)間: 2025-3-22 13:35 作者: 起草 時(shí)間: 2025-3-22 20:26
https://doi.org/10.1007/978-3-540-70764-6o a wide family of globally asymptotically stabilizing control laws, and it makes it possible to address robustness issues and solve adaptive control problems. This chapter begins with a review of classical backstepping for time-invariant systems. We then give several extensions that lead to timevar作者: 偽造者 時(shí)間: 2025-3-22 21:39
https://doi.org/10.1007/978-3-540-70764-6 strict Lyapunov functions were expressed in terms of given nonstrict Lyapunov functions and the auxiliary functions from the Matrosov assumptions. The method relied on a special structure for the upper bounds on the time derivatives of the auxiliary functions. In this chapter, we present a more gen作者: Congruous 時(shí)間: 2025-3-23 01:57
Guido Eilenberger,Sascha Haghaninamics are completely known. However, there are important cases where the system parameters are unknown, and where the objectives are to simultaneously (a) design controllers that force the trajectories to track a prescribed reference trajectory and (b) estimate the unknown parameters. In this chapt作者: 圓桶 時(shí)間: 2025-3-23 08:16 作者: 烤架 時(shí)間: 2025-3-23 12:55
https://doi.org/10.1007/978-3-540-70764-6entary problem of explicitly constructing strict Lyapunov functions for . time-varying continuous time systems. As in the case of rapidly time-varying systems, slowly time-varying systems involve two continuous time scales, one faster than the other. However, the methods for constructing strict Lyap作者: 繼承人 時(shí)間: 2025-3-23 14:23 作者: Morbid 時(shí)間: 2025-3-23 18:33
https://doi.org/10.1007/978-1-84882-535-2Lyapunov Analysis; Lyapunov Constructions; Time-varying Systems; adaptive control; control; control theor作者: Transfusion 時(shí)間: 2025-3-24 00:25
978-1-4471-5782-3Springer-Verlag London 2009作者: intention 時(shí)間: 2025-3-24 03:07
Constructions of Strict Lyapunov Functions978-1-84882-535-2Series ISSN 0178-5354 Series E-ISSN 2197-7119 作者: 淘氣 時(shí)間: 2025-3-24 07:11
Michael‘Malisoff,Frédéric MazencProvides the reader with a user-friendly framework for building Lyapunov functions in novel settings.Helps the reader with feedback design and in quantifying the effects of system uncertainty.Includes作者: 令人心醉 時(shí)間: 2025-3-24 11:06
Communications and Control Engineeringhttp://image.papertrans.cn/c/image/236095.jpg作者: apiary 時(shí)間: 2025-3-24 15:54
A Doubt about the Equivalence Principle,ts a Lyapunov function that has a globally bounded gradient. This is important, because the existence of such a Lyapunov function guarantees robustness with respect to additive uncertainty in the dynamics. We illustrate these ideas in several examples.作者: 組裝 時(shí)間: 2025-3-24 19:07
M. Kitzler,J. Caillat,A. Scrinzi,A. Baltu?kaons for time-invariant systems that satisfy appropriate Matrosov Conditions. In Chapters 8 and 12, we generalize to much more complex time-varying systems, including Matrosov type theorems for hybrid systems.作者: mitten 時(shí)間: 2025-3-24 23:30
C. Perlet,S. H. Heywang-K?brunnerb) our methods apply to Hamiltonian systems, which commonly arise in mechanical engineering. We illustrate our work using a two-link manipulator model, as well as an integral input-to-state stability result.作者: Irksome 時(shí)間: 2025-3-25 07:10
Guido Eilenberger,Sascha Haghanie explicit ISS Lyapunov functions, in terms of given non-strict Lyapunov functions for the continuous and discrete subsystems, as well as a hybrid version of Matrosov’s Theorem. We illustrate our results using a hybrid version of the identification dynamics we saw in previous chapters.作者: embolus 時(shí)間: 2025-3-25 10:40
0178-5354 for quantifying the effects of uncertainty. Readers will benefit from the authors’ mathematical rigor and unifying, design-oriented approach, as well as the numerous worked examples..978-1-4471-5782-3978-1-84882-535-2Series ISSN 0178-5354 Series E-ISSN 2197-7119 作者: 致命 時(shí)間: 2025-3-25 12:46 作者: 使害羞 時(shí)間: 2025-3-25 17:13
Matrosov Conditions: Simple Caseons for time-invariant systems that satisfy appropriate Matrosov Conditions. In Chapters 8 and 12, we generalize to much more complex time-varying systems, including Matrosov type theorems for hybrid systems.作者: 設(shè)想 時(shí)間: 2025-3-25 21:09
Jurdjevic-Quinn Conditionsb) our methods apply to Hamiltonian systems, which commonly arise in mechanical engineering. We illustrate our work using a two-link manipulator model, as well as an integral input-to-state stability result.作者: AVID 時(shí)間: 2025-3-26 04:01
Hybrid Time-Varying Systemse explicit ISS Lyapunov functions, in terms of given non-strict Lyapunov functions for the continuous and discrete subsystems, as well as a hybrid version of Matrosov’s Theorem. We illustrate our results using a hybrid version of the identification dynamics we saw in previous chapters.作者: 吹氣 時(shí)間: 2025-3-26 05:37
Background on Nonlinear Systemsy, including the input-to-state stability paradigm. An important feature is the distinction between uniform and non-uniform stability for timevarying systems. We also include an overview of the problem of stabilization of nonlinear systems, including the “virtual” obstacles to stabilization imposed 作者: 相一致 時(shí)間: 2025-3-26 09:31 作者: 伙伴 時(shí)間: 2025-3-26 13:22 作者: conjunctiva 時(shí)間: 2025-3-26 20:51
Jurdjevic-Quinn Conditions amplitude. It requires certain algebraic conditions on the Lie derivatives of a suitable non-strict Lyapunov function, in the directions of the vector fields that define the system. The non-strictness of the Lyapunov function is an obstacle to proving robustness, since robustness analysis typically作者: 刺耳的聲音 時(shí)間: 2025-3-26 21:36
Systems Satisfying the Conditions of LaSallecally stable, it is still desirable to be able to construct a strict Lyapunov function for the system, e.g., for robustness analysis and feedback design. In this chapter, we give two more methods for constructing strict Lyapunov functions, which apply to cases where asymptotic stability is already k作者: Servile 時(shí)間: 2025-3-27 02:38
Strictification: Basic Resultsve analogs for time-varying systems. In general, these involve replacing the negative semi-definite function of the state in the right side of the non-strict Lyapunov decay condition with a . of a negative semi-definite function of the state and a suitable time-varying parameter. We assume that the 作者: 微粒 時(shí)間: 2025-3-27 07:10
Backstepping for Time-Varying Systemso a wide family of globally asymptotically stabilizing control laws, and it makes it possible to address robustness issues and solve adaptive control problems. This chapter begins with a review of classical backstepping for time-invariant systems. We then give several extensions that lead to timevar作者: Mendacious 時(shí)間: 2025-3-27 12:25 作者: 光亮 時(shí)間: 2025-3-27 14:21
Adaptively Controlled Systemsnamics are completely known. However, there are important cases where the system parameters are unknown, and where the objectives are to simultaneously (a) design controllers that force the trajectories to track a prescribed reference trajectory and (b) estimate the unknown parameters. In this chapt作者: 藐視 時(shí)間: 2025-3-27 18:33
Rapidly Time-Varying Systemswith two continuous time scales, one faster than the other. Systems of this kind are called either rapidly time-varying systems or slowly time-varying systems. The presence of multiple time scales significantly complicates the problem of constructing global strict Lyapunov functions. In this chapter作者: 漂亮 時(shí)間: 2025-3-27 22:09
Slowly Time-Varying Systemsentary problem of explicitly constructing strict Lyapunov functions for . time-varying continuous time systems. As in the case of rapidly time-varying systems, slowly time-varying systems involve two continuous time scales, one faster than the other. However, the methods for constructing strict Lyap作者: cacophony 時(shí)間: 2025-3-28 05:10
Hybrid Time-Varying Systemsimes readily available non-strict Lyapunov functions. This led to more explicit formulas for stabilizing feedbacks, as well as explicit quantizations of the effects of uncertainties, in the context of ISS. However, there are many cases where continuous and discrete time systems in and of themselves 作者: 闡釋 時(shí)間: 2025-3-28 10:06
Urogenitaltrakt, Retroperitoneum, Mammaov functions, in the directions of the vector fields that define the systems. Our second method uses our continuous time Matrosov Theorem from Chap. 3. We illustrate our approach by constructing a strict Lyapunov function for an appropriate error dynamics involving the Lotka-Volterra Predator-Prey System.作者: 生存環(huán)境 時(shí)間: 2025-3-28 12:44
Stefano Stanghellini,Sergio Copiellong this more complicated decay condition into explicit strict Lyapunov functions. In this chapter, we provide methods for solving this and related problems, including the construction of ISS Lyapunov functions for time-varying systems. We apply our work to stabilization problems for rotating rigid bodies and underactuated ships.作者: 歪曲道理 時(shí)間: 2025-3-28 16:56 作者: 煞費(fèi)苦心 時(shí)間: 2025-3-28 20:50 作者: RUPT 時(shí)間: 2025-3-29 00:20
https://doi.org/10.1007/978-3-540-70764-6y different from the ones in Chap. 10. Instead of using limiting dynamics or averaging, we use a “frozen dynamics” approach, whereby Lyapunov functions for the corresponding frozen dynamics are used to build strict Lyapunov functions for the original slowly time-varying dynamics. We illustrate our results using friction and pendulum models.作者: 花束 時(shí)間: 2025-3-29 05:57 作者: 遺忘 時(shí)間: 2025-3-29 07:21 作者: Minatory 時(shí)間: 2025-3-29 13:40 作者: Communicate 時(shí)間: 2025-3-29 15:47
Adaptively Controlled Systemstions for an augmented system that includes the tracking error and the parameter estimation error. Our strict Lyapunov function approach makes it possible to quantify the effects of other types of uncertainty in the model as well, using the input-to-state stability framework. We illustrate our results using R?ssler’s dynamics and Lorenz systems.作者: PARA 時(shí)間: 2025-3-29 23:17 作者: extinct 時(shí)間: 2025-3-30 02:12
Background on Nonlinear Systemsby Brockett’s Necessary Condition. Brockett’s Criterion motivates our use of time-varying feedbacks to stabilize both autonomous and time-varying systems. We illustrate these notions in several examples. In later chapters, we revisit these notions using strict Lyapunov functions.作者: AGONY 時(shí)間: 2025-3-30 06:12 作者: 職業(yè) 時(shí)間: 2025-3-30 08:53
