NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-rl:"equations")'

Understanding advanced statistical methods /

By Westfall, Peter H.,. . xxv, 543 pages : 26 cm.. 9781466512108 (hardback) | 1466512105 (hardback)

Place Hold on Understanding advanced statistical methods /

Stochastic Processes and Applications : diffusion processes, the Fokker-Planck and Langevin equations /

By Pavliotis, Grigorios A.,. . xiii, 339 pages : , Textbook for graduates. 25 cm.. 9781493913220 | 1493913220

Place Hold on Stochastic Processes and Applications :

Fundamentals of logic design /

By Roth, Charles H.. . xxiii, 791 pages : 24 cm +. 9781133628477 | 1133628478

Place Hold on Fundamentals of logic design /

Design of Fluid Thermal Systems /

By Janna, William S.,. . xv, 640 pages : 23 cm.. 9781305076075

Place Hold on Design of Fluid Thermal Systems /

The Finite Element Method for Fluid Dynamics

By Zienkiewicz, O. C.,. . xxxvi, 544 pages : 24 cm. 9789351072317

Place Hold on The Finite Element Method for Fluid Dynamics

Elementary number theory /

By Burton, David M.. Boston : McGraw-Hill, Higher Education, 2010 . xii, 436 p. : 24 cm.. 9780073383149 (hdbk. : alk. paper)

Place Hold on Elementary number theory /

Linear algebra with applications /

By Bretscher, Otto,. . xv, 508 pages : 26 cm. 9780135162972 (paperback) | 0135162971 (paperback)

Place Hold on Linear algebra with applications /

Enhanced Drone Control Using Reinforcement Learning /

By Moin, Hassan . . 101p. , Quadcopters have already proven their effectiveness in both civilian and military applications. Their control, however, is a difficult task due to their under-actuated, highly nonlinear, and coupled dynamics. Most quadcopter autopilot systems utilize cascaded control schemes, where the outer loop handles mission-level objectives in 3D Euclidean space, and the inner loop is responsible for stability and control. Such complex systems are generally operated using PID controllers, which have demonstrated exceptional performance in multiple scenarios, such as obstacle avoidance, trajectory tracking and path planning. However, tuning their gains for nonlinear systems using heuristics or rulebased methods is a tedious, time-consuming and difficult task. Rapid advances in the field of computational engineering, on the other hand, have paved way for intelligent flight control systems, which have become an important area of study addressing the limits of PID control, most recently through the application of reinforcement learning (RL). In this dissertation, an optimal gain auto-tuning strategy is implemented for altitude, attitude, and position controllers of a 6 DoF nonlinear drone system using a deep actor-critic RL algorithm having continuous observation and action spaces. The state equations are derived using Lagrange’s (energy-based) method, while the drone’s aerodynamic coefficients are estimated numerically using blade element momentum theory. Furthermore, the cascaded closed loop system’s asymptotic stability is studied using the theory of Lyapunov. Finally, the proposed strategy is validated by simulation results, where the gains learned by RL agents allow the quadcopter to track a given trajectory accurately. Moreover, these optimal gains satisfy the conditions obtained through Lyapunov’s stability analysis, indicating that the RL algorithm is an extremely powerful tool which can assess uncertainties existing within any complex nonlinear system 30cm.

Place Hold on Enhanced Drone Control Using Reinforcement Learning /

Landscape performance modelling using Rhino and Grasshopper /

By Zawarus, Phillip,. . 290p.: 25cm.. 9781032076300

Place Hold on Landscape performance modelling using Rhino and Grasshopper /

Elementary technical mathematics /

By Ewen, Dale,. . xvii, 573 pages : , Includes index. 28 cm. 9781337630580 (pbk. : student edition) | 9781337630658 (looseleaf edition)

Place Hold on Elementary technical mathematics /