02564nam0 2200469 i 450 BVEE01736420170908093205.01.di u-e, e.e- neti (3) 1540 (R)fei1.di u-e, r-in mipe (7) 1540 (R)fei20100630d1540 ||||0itac50 baitaitz01i xxxe z01nPrediche del reuerendo padre fra Gieronimo da Ferrara per tutto l'anno nuouamente con somma diligentia ricorretteIn Vinegia1540Stampata in Vinegiaper Giouanni Antonio di VolpiniA di primo di Giugno. 1540[4], 401, [3] carteill.8ºRiferimenti: P. Scapecchi, Catalogo delle edizioni di Girolamo Savonarola ... Firenze, 1998, n. 193A cura di Antonio Brucioli e di Lorenzo Violi, i cui nomi compaiono rispettivamente nella prima e nella seconda prefCorsivo, romanoSegnatura: ✝⁴ A- 3D⁸ 3E⁴Vignetta sul frontespizio (predica di G. Savonarola) con marca tipografica (V455 - Z486)Var. B: "... ricorretto" in luogo di "... ricorrette" nel titoloVar. C.: non presenta una c. numerata 13 per errori di numerazione nel fasc. B.1 esemplare. - Timbro di provenienza Bibliotheca Conventus S. Dominici Majoris sul front.IT-NA0070, Z.A. 0315Prediche del reverendo fra Gieronimo da Ferrara per tutto l'anno ...BVEE017365VeneziaSBLL003553Savonarola, GirolamoCFIV013111070156772Brucioli, Antonio <1487-1566>CFIV005265Violi, Lorenzo <n. 1464>CFIV032356Volpini, Giovanni AntonioBVEV027847650Savonarola, GerolamoURBV215776Savonarola, GirolamoVivuoli, LorenzoBVEV047501Violi, Lorenzo <n. 1464>Vivoli, LorenzoBVEV120829Violi, Lorenzo <n. 1464>ITIT-NA007920100630IT-NA0070BVEE017364RMLM000090Doppia croce su cuore con iniziali B.O.S.V455Sul front.Biblioteca Universitaria1 v.1 v. BUZ.A. 0315 BUSI 0000186445 B 1 esemplare. - Timbro di provenienza Bibliotheca Conventus S. Dominici Majoris sul front.Z 2010063020100630 BUPrediche del reuerendo padre fra Gieronimo da Ferrara per tutto l'anno nuouamente con somma diligentia ricorrette1480049UNISANNIO05402nam 22006614a 450 991014356810332120170815123315.01-280-50795-097866105079550-470-04534-51-61583-476-10-470-04533-7(CKB)1000000000355271(EBL)265855(OCoLC)166353769(SSID)ssj0000215745(PQKBManifestationID)11208070(PQKBTitleCode)TC0000215745(PQKBWorkID)10204533(PQKB)11726097(MiAaPQ)EBC265855(PPN)170227774(EXLCZ)99100000000035527120060209d2006 uy 0engur|n|---|||||txtccrOptimal state estimation[electronic resource] Kalman, H [infinity] and nonlinear approaches /Dan SimonHoboken, N.J. Wiley-Intersciencec20061 online resource (554 p.)On t.p. "[infinity]" appears as the infinity symbol.0-471-70858-5 Includes bibliographical references (p. 501-520) and index.Optimal State Estimation; CONTENTS; Acknowledgments; Acronyms; List of algorithms; Introduction; PART I INTRODUCTORY MATERIAL; 1 Linear systems theory; 1.1 Matrix algebra and matrix calculus; 1.1.1 Matrix algebra; 1.1.2 The matrix inversion lemma; 1.1.3 Matrix calculus; 1.1.4 The history of matrices; 1.2 Linear systems; 1.3 Nonlinear systems; 1.4 Discretization; 1.5 Simulation; 1.5.1 Rectangular integration; 1.5.2 Trapezoidal integration; 1.5.3 Runge-Kutta integration; 1.6 Stability; 1.6.1 Continuous-time systems; 1.6.2 Discrete-time systems; 1.7 Controllability and observability1.7.1 Controllability1.7.2 Observability; 1.7.3 Stabilizability and detectability; 1.8 Summary; Problems; 2 Probability theory; 2.1 Probability; 2.2 Random variables; 2.3 Transformations of random variables; 2.4 Multiple random variables; 2.4.1 Statistical independence; 2.4.2 Multivariate statistics; 2.5 Stochastic Processes; 2.6 White noise and colored noise; 2.7 Simulating correlated noise; 2.8 Summary; Problems; 3 Least squares estimation; 3.1 Estimation of a constant; 3.2 Weighted least squares estimation; 3.3 Recursive least squares estimation; 3.3.1 Alternate estimator forms3.3.2 Curve fitting3.4 Wiener filtering; 3.4.1 Parametric filter optimization; 3.4.2 General filter optimization; 3.4.3 Noncausal filter optimization; 3.4.4 Causal filter optimization; 3.4.5 Comparison; 3.5 Summary; Problems; 4 Propagation of states and covariances; 4.1 Discrete-time systems; 4.2 Sampled-data systems; 4.3 Continuous-time systems; 4.4 Summary; Problems; PART II THE KALMAN FILTER; 5 The discrete-time Kalman filter; 5.1 Derivation of the discrete-time Kalman filter; 5.2 Kalman filter properties; 5.3 One-step Kalman filter equations; 5.4 Alternate propagation of covariance5.4.1 Multiple state systems5.4.2 Scalar systems; 5.5 Divergence issues; 5.6 Summary; Problems; 6 Alternate Kalman filter formulations; 6.1 Sequential Kalman filtering; 6.2 Information filtering; 6.3 Square root filtering; 6.3.1 Condition number; 6.3.2 The square root time-update equation; 6.3.3 Potter's square root measurement-update equation; 6.3.4 Square root measurement update via triangularization; 6.3.5 Algorithms for orthogonal transformations; 6.4 U-D filtering; 6.4.1 U-D filtering: The measurement-update equation; 6.4.2 U-D filtering: The time-update equation; 6.5 Summary; Problems7 Kalman filter generalizations7.1 Correlated process and measurement noise; 7.2 Colored process and measurement noise; 7.2.1 Colored process noise; 7.2.2 Colored measurement noise: State augmentation; 7.2.3 Colored measurement noise: Measurement differencing; 7.3 Steady-state filtering; 7.3.1 α-β filtering; 7.3.2 α-β-γ filtering; 7.3.3 A Hamiltonian approach to steady-state filtering; 7.4 Kalman filtering with fading memory; 7.5 Constrained Kalman filtering; 7.5.1 Model reduction; 7.5.2 Perfect measurements; 7.5.3 Projection approaches; 7.5.4 A pdf truncation approach; 7.6 Summary; Problems8 The continuous-time Kalman filterA bottom-up approach that enables readers to master and apply the latest techniques in state estimationThis book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering.While there are other textbooks that treat state estimation, this one offers special features and a uniquKalman filteringNonlinear systemsMathematical optimizationKalman filtering.Nonlinear systems.Mathematical optimization.519629.8312Simon Dan1960-856795MiAaPQMiAaPQMiAaPQBOOK9910143568103321Optimal state estimation2171177UNINA