Shows
inControlep34 - The inControl guide to ... Controllability & ObservabilityOutline00:00 - Intro01:06 - The big idea03:42 - Controllability, observability, and ... the space race!14:52 - Kálmán and the state-space paradigm00:00 - The math and intuition: state-space basics, definitions, and duality00:00 - A touch of nonlinearity00:00 - Developments in the field: a chronological tour00:00 - Controllability and observability: quo vaditis?00:00 - OutroLinksKálmán: https://tinyurl.com/bdzj7mtrControllability: https://tinyurl.com/28s5zxpnObservability: https://tinyurl.com/yjxncxdnPaper - "Contributions to the theory of op...2025-07-1759 mininControlep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimizationOutline00:00 - Intro00:42 - “Research should be fun”02:02 - Early steps in research09:00 - Book writing and meeting C. Desoer18:33 - Control synthesis via the factorization approach25:46 - The graph metric 29:27 - Robotics and CAIR36:00 - Randomized algorithms40:41 - On learning44:05 - Neural networks48:40 - Tata, hidden Markov models, and large deviations theory55:48 - Picking problems and role of luck58:07 - Compressed sensing and non-convex optimization01:02:17 - Interplay between contr...2025-06-161h 18inControlep32 - Anders Rantzer: robust control, IQCs, nonlinear and hybrid systems, positivity and scalable control, adaptive controlOutline00:00 - Intro and early steps in control06:42 - Journey to the US08:30 - Kharitonov's theorem and early influences12:10 - From Lund to KTH (Stockholm)15:01 - Ascona and collaboration with Megretski24:06 - The IMA year in Minnesota33:50 - Integral quadratic constraints46:10 - KYP lemma and meeting Yakubovich52:35 - Piecewise hybrid systems59:41 - Dual to Lyapunov theorem1:06:48 - Positivity and large scale systems1:15:25 - Adaptive and dual control1:25:24 - Future research directionsLinks Master's thesis: https://tinyurl.com/vnkuf44a2025-05-161h 30inControlep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for controlOutline00:00 - Intro01:07 - Early steps02:47 - Why control?05:20 - The move to the US07:40 - The first journal paper13:30 - What is backstepping?17:08 - Grad school25:10 - Stochastic stabilization29:53 - The interest in PDEs43:24 - Navier-Stokes equations52:12 - Hyperbolic PDEs and traffic models57:51 - Predictors for long delays1:08:14 - Extremum seeking1:27:14 - Safe control1:36:30 - Interplay between machine learning and control1:42:28 - Back to the roots: robust adaptive control1:50:50 - On service1:55:54 - AdviceLinks2025-04-152h 02inControlep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational controlOutline00:00 - Intro03:26 - Development: ETH Zürich07:15 - Growth: Minnesota and Wisconsin36:16 - Productivity: Caltech53:28 - Change: ETH Zürich01:37:18 - Continuity: University of Pennsylvania01:45:36 - OutroLinksManfred’s website: https://tinyurl.com/mryp38w3Farewell lecture: https://tinyurl.com/2j5uxsp4Laying the foundations: an advisor’s perspective: https://tinyurl.com/ym5e4437Internal model control. A unifying review and some new results: https://tinyurl.com/vmm7a4tkInternal model control - PID controller design: https://tinyurl.com/rup...2025-02-171h 46inControlep29 - Richard Bellman: The Father of Dynamic ProgrammingOutline 00:00 - Intro02:42 - Early life10:24 - WWII, Johns Hopkins, Belleville, Madison 17:17 - Princeton 20:30 - Los Alamos24:12 - Back to Princeton31:01 - RAND + Stanford 42:10 - Dynamic programming46:06 - Project matterhorn51:00 - Back to RAND56:14 - Curse of dimensionality1:02:41 - Divorce and remarriage1:08:29 - Greenglass affair1:14:21 - USC1:18:55 - Center for the Study of Democratic Institutions1:22:55 - Last years1:26:08 - OutroLinksR. Bellman: https://tinyurl.com/ydkmwexyC. M. Bellman: https://tinyurl.com/yfbafetj2025-01-171h 29inControlep28 - Karl Henrik Johansson: Semper in Motu - Hybrid Systems, Wireless and Event-Based Control, Mobility, Cybersecurity, and Societal ChallengesOutline00:00 Intro01:19 Swedish control heritage and early steps05:21 PhD at Lund and relay feedback systems15:40 Berkeley years19:58 Hybrid systems26:46 Networked control systems30:32 Interaction with industry34:40 Wireless control systems40:33 Platooning in freight transport49:27 Future of mobility52:55 Event-based control58:58 Cybersecurity1:05:10 Societal-scale challenges1:12:33 Bode lecture reflections1:15:05 Digital futures1:23:38 Advice for future studentsLinksKalle’s website: https://tinyurl.com/yc34dv2xK. J. Åstrom: https://tinyurl.com/5n9admvkPhD Thesis: https://tinyurl.com/3868a92a2024-12-151h 29inControlep27 - Munther Dahleh: L1 control, agile robotic maneuvering, abstractions, cascaded failures, markets, data and systems for societal problemsOutline00:00 - Intro02:14 - Early steps in control05:36 - L1 control17:09 - Relay feedback systems24:32 - Agile robotic maneuvers29:31 - Abstractions and models41:59 - Causality49:35 - Markets and power grids1:00:20 - Role of network structure1:05:03 - Data, systems, and society1:16:17 - On writing1:22:57 - Cascaded failures in networks1:30:40 - Information design1:34:29 - Data markets1:42:27 - On economics and engineering1:48:18 - Systems thinking for societal problems1:58:24 - Advice to future studentsLinksWebsite: https://dahleh.lids...2024-10-172h 04inControlep26 - Bart De Moor: subspace identification, linear & multilinear algebra, quantum information, MLOutline00:00 - Intro00:49 - Early education and PhD in control10:35 - Non-negative linear algebra & modelling uncertainty principle22:50 - Influence of Willems & the Frisch scheme34:27 - Subspace identification & stochastic behavioural system theory38:39 - Stanford experience with Golub & Kailath53:30 - Return to Leuven: LS-SVMs, quantum information, and beyond1:07:48 - Multilinear algebra and tensor trains1:11:59 - Exact/approximate modelling and angles between systems1:25:34 - Back to the roots1:46:01 - On entrepreneurship: advice to future students1:56:32 - OutroLinksBart’s website: https://www.ba...2024-08-211h 57inControlep25 - Francesco Bullo: Geometric control, robotic networks, networked systems, mathematical sociology, contraction theoryOutline01:16 - Intro02:28 - Early steps in Italy and California13:00 - From Riemannian geometry …17:01 - … to geometric control, robotics and locomotion34:54 - Academic environment at Caltech35:06 - From single robots to robotic networks53:51 - Art gallery problem1:01:37 - Networked and cyber-physical systems1:21:47 - Contracting dynamics1:33:07 - Coupled oscillators and power grids1:47:20 - On mathematical sociology1:56:44 - Writing and publishing2:02:14 - About professional service2:08:04 - Advice for future students2:08:04 - OutroLinksFrancesco’s website: https://fbullo.github.io/2024-07-152h 08inControlep24 - Brian Douglas: Boeing, Control Videos, Resourcium, Map of Control Theory, Cartoons, MathworksOutline00:00 - Intro01:00 - From Boeing to Planetary Resources08:57 - The origin of control videos17:07 - About teaching style20:52 - The (unnecessary?) math behind controls26:54 - On interdisciplinarity31:35 - How to build knowledge fast48:32 - Resourcium01:00:49 - The map of control theory 01:11:09 - IFAC Cartoons01:15:35 - Fundamentals of control theory book01:24:49 - The role of projects01:34:27 - Future of control education01:43:43 - Advice to future students LinksBrian’s website: https://tinyurl.com/DouglasBrian1Boeing: https://tinyurl.co...2024-06-141h 46inControlep23 - Bassam Bamieh: Sampled Data Systems, PDEs, Distributed Control of Spatially Invariant Systems, Coherence, Resistive Losses, Cochlear Instabilities, and Stochasticity in Feedback LoopsOutline00:00 - Intro01:17 - Early Years04:17 - The “Scenic Route” to Control Theory12:44 - Sampled Data Systems22:26 - Linear Parameter Varying (LPV) Identification28:07 - From Distributed Systems and PDEs ...38:59 - ... to Distributed Control of Spatially Invariant Systems49:02 - Taming the Navier-Stokes Equations50:55 - Advice to Future Students1:13:12 - Coherence in Large Scale Systems1:32:28 - On Resistive Losses in Power Systems1:39:00 - Cochlear Instabilities1:50:40 - Stochasticity in Feedback Loops2:00:00 - About Linear and Nonlinear Control2:08:14 - How to Select a Research Problem2:14:21 - Fu...2024-05-152h 23inControlep22 - Alberto Sangiovanni Vincentelli, Part II: Cyberphysical and hybrid systems, Contracts, Chiplets, Models of computation, Time, Innovative Ecosystems, BioBricks, NeuromorphicsOutline00:00 - Intro01:28 - Platform-based design (PBD) in biology16:42 - Cyberphysical systems, automotive industry, hybrid systems27:32 - Contracts in system design34:50 - Chiplets41:48 - About time: the tag signal model52:15 - Neuromorphics59:21 - Innovative ecosystems1:07:35 - Advice to future students1:16:26 - The role of luckLinksBiKi Technologies: https://t.ly/RuaW7R. Murray: https://t.ly/Zy_Up S. Sastry: https://t.ly/qsf44C. Tomlin: https://t.ly/tQ0XZPlatform-based design for energy systems: https://t...2024-04-151h 20inControlep21 - Alberto Sangiovanni Vincentelli, Part I: Classics, EDA, Logic Synthesis, SPICE, Intel x386, Cadence, Synopsis, Platform-based designOutline00:00 - Intro02:40 - Classic Studies06:51 - Early Steps in Berkeley between Optimization and Circuits Theory16:04 - Back to Italy... and back to Berkeley26:29 - The SPICE program and the interaction with IBM33:30 - Logic Synthesis, Simulated Annealing, Timberwolf40:57 - The Intel x386, YACR, and ESPRESSO47:01 - The birth of Cadence and Synopsis1:06:01 - Corsi e Ricorsi in EDA1:30:45 - The Shift to Automotive and Platform-Based Design1:39:06 - OutroLinksAlberto’s website: https://tinyurl.com/2w8t8fzaState-space ap...2024-03-151h 47inControlep20 - Aude Billard: From Robot learning to Dexterous Manipulation and Human-Robot InteractionOutline00:00 - Intro00:58 - Early steps… in physics!05:17 - AI in Edinburgh08:00 - Connectionism10:37 - Robot learning19:02 - Imitation learning23:00 - On pursuing a PhD24:45 - Californian chronicles30:10 - Modularity33:20 - Challenges in robot learning39:44 - Dexterous manipulation43:52 - Dynamical systems47:37 - Combining ML and control51:25 - Human-robot interaction54:24 - Safety and compliance57:54 - Deadlines for papers1:06:38 - Advice to future students1:07:08 - OutroLinksAude’s lab: http://tinyurl.com/4nsx2kraRobo...2024-02-161h 07inControlep19 - Naomi Ehrich Leonard, Part II: Unveiling the Dynamics of Collective Decision-Making from Flocking Starlings to Desert Ants, Political Polarization, and the Creative Dance Between Arts and Control TheoryOutline00:00 - Intro01:33 - Starling Flock Formations07:17 - Harvesters ants in the desert16:54 - Decision making in the natural world and opinion dynamics 32:08 - A geometric look at political polarization36:50 - Control theory and dancing53:25 - CreativeX55:25 - On creativity57:47 - Advice to future studentsLinksAndrea Cavagna - http://tinyurl.com/uywn592jIrene Giardina - http://tinyurl.com/4jmk2h5n Starling Flock Networks Manage Uncertainty in Consensus at Low Cost: http://tinyurl.com/hc7wz5zpRegulation o...2024-01-1557 mininControlep18 - Naomi Ehrich Leonard, Part I: Geometric Control on Lie Groups, Underwater Vehicles and Collective Motion, Coordination in Animal Groups, Decision Making in Honeybees and Bifurcation TheoryOutline00:00 - Intro01:05 - Dancing and control theory03:31 - Geometric control on Lie groups09:14 - Underwater vehicles and geometric mechanics18:45 - On the Hamiltonian framework21:25 - Underwater field experiments in Monte Rey Bay 36:27 - Collective motion and coordination in animal groups54:40 - Honeybees and bifurcation theory1:03:36 - OutroLinksNaomi’s website: http://tinyurl.com/j755aww5Naomi’s PhD Thesis: http://tinyurl.com/ywkvvy7kLie group: http://tinyurl.com/2p83jw9sAveraging: http://tinyurl.com/df9kmmcw...2023-12-131h 07inControlep17 - Tryphon Georgiou, Part II: Power spectra, optimal mass transport, Wasserstein geometry, turbulence, thermodynamics, quantum mechanics, adjustable one-portsOutline00:00 - Intro00:47 - Mind the gap (metric)03:16 - Moment problems and Nevanlinna interpolation06:53 - “Everything relates to everything else”11:27 - Distances between power spectra 16:08 - Optimal mass transport and Schrödinger bridges32:25 - Sinkhorn iteration and Wasserstein geometry37:45 - Color of turbulence41:38 - Thermodynamics and energy harvesting from heat baths55:01 - Quantum mechanics57:55 - Adjustable one-ports1:07:20 - “Aha moments” and advice to future generations1:12:20 - OutroLinksTryphon’s website: https://georgiou.eng.uci.edu/Robustness analysis of nonlinear...2023-12-111h 13inControlep16 - Tryphon Georgiou, Part I: Marathons, Interpolation problems, Metrics, and the Arrow of TimeOutline00:00 - Intro01:50 - Running marathons 05:19 - The Center13:28 - On creativity15:24 - From algebraic system theory to moment problems43:39 - The gap metric58:33 - The longstanding friendship and collaboration with M. Smith01:11:30 - On causality and the arrow of time LinksTryphon’s website: https://georgiou.eng.uci.edu/People in control interview: https://tinyurl.com/4nw5s9p6R. Kalman: https://tinyurl.com/mux93t32A. Tannenbaum: https://tinyurl.com/2pws6rzdMoment problem - https://tinyurl.com...2023-11-141h 25inControlep15 - Davide Scaramuzza: Vision-Based Navigation, Agile Drone Racing, Perception-Aware Control, and Event CamerasIn this episode, we dive into the world of flying robots with Davide Scaramuzza (University of Zürich), a leading expert in vision-based navigation, agile drone racing, perception-aware control, and the cutting-edge neuromorphic technology of event cameras. We explore the challenges of autonomous navigation in GPS-denied environments, the excitement of drone racing, the future of robotics, and the revolutionary potential of event-based cameras.Outline00:58 - Magic 02:58 - Visual SLAM and autonomous driving05:32 - Flying without a GPS11:01 - sFly project - Vision-based autonomous flight18:14 - Next steps22:30 - Drone r...2023-10-161h 33inControlep14 - Cleve Moler: Numerical Analyst, First MATLAB Programmer, and MathWorks Co-FounderIn this episode, we chat with Cleve Moler, a pioneer in numerical mathematics, creator of MATLAB and co-founder of MathWorks. We cover the birth of MATLAB, along with captivating stories about the origin of the iconic MathWorks logo, the enigmatic "why" command, the concept of "embarrassingly parallel computations," and the mysterious Pentium bug, among other. Outline00:00 - Intro 05:23 - Advice to students 05:45 - Caltech & J. Todd 07:07 - Stanford & G. Forsythe08:27 - The MathWorks logo 11:50 - ETH Zürich & Stiefel16:51 - Householder meetings 19:48 - LINPACK & EISPACK projects 26:10 - The...2023-07-1052 mininControlep13 - John Doyle, Part II: Architectures, Universal laws, Layers, Levels, and Diversity-enabled Sweet SpotsIn this episode, we chat again with John Doyle about the frontiers of control theory. Starting from the fascinating interplay between bacteria, physics, and the Internet, we explore the universal laws that govern complex systems. We discuss the inner workings of phenomena like earthquakes, wildfires, and sepsis, emphasizing the vital role of control theory in understanding intrinsic tradeoffs and fragilities. Finally, we discuss the essential components of a full theory of architectures, including universal laws, layers, levels, and diversity-enabled sweet spots. Outline 00:00 - Intro 03:00 - Complex systems, physics, and the Internet 08:31 - O...2023-06-141h 46inControlep12 - John Doyle, Part I: A Pioneer's Guide to Robust Control - The Past, Present, and FutureIn this episode, we sit down with John Doyle, a living legend in the field of robust control, to delve into his incredible journey in control theory. We explore his past at MIT and Honeywell, his time at Berkeley, and his journey through the golden age of robustness. From his groundbreaking work on margins of systems, \mu synthesis, and the H_\infty problem, to his insights on System Level Synthesis (SLS) and modern control architectures, John shares his thoughts on the past, present, and future of robust control. Along the way, we listen to John's fascinating stories, including his...2023-05-151h 16inControlep11 - Mustafa Khammash: CybergeneticsIn this episode, our guest is Mustafa Khammash. Mustafa is the director of the Control Theory and Systems Biology Lab at ETH Zürich and guides us in this episode as we explore Cybergenetics - the cutting-edge intersection of control theory and synthetic biology. From biomolecular control to antithetic motifs, we discuss real-world applications and ethical dilemmas. Don't miss it!Outline00:00 - Intro00:50 - Cybergenetics02:22 - Genetics 10105:07- Where control meets biology06:49 - Mustafa's early steps in biology: why do dairy cows get milk fever?12:05 - Systems and synthetic b...2023-04-141h 20inControlep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming, Rock & RollIn this episode, our guest is Stephen Boyd. Stephen is the Samsung Professor in the School of Engineering at Stanford University. Join as we dive deep into control, convex optimization, linear matrix inequalities, disciplined convex programming, teaching styles, and... rock & roll sound!Outline- 00:00 - Intro - 07:48 - Early years at Berkeley - 10:25 - The role of theory in practice - 16:19 - On traveling (intellectually)- 19:40 - Convex optimization - 31:51 - On Linear Matrix Inequalities (LMIs) - 39:57 - Convex Optimization Control Policies (COCPs)- 50:20 - CVX and Disc...2023-03-151h 20inControlep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifoldsOur guest in this episode is Rodolphe Sepulchre, Professor of Engineering at KU Leuven in the Deparment of Electrical Engineering (STADIUS) and at the University of Cambridge in the Deparment of Engineering (Control Group). We dive into Rodophe's scientific journey across nonlinear control, neuroscience and optimization on manifolds through the unifying lens of control theory.Outline- 00:00 - Intro - 03:54 - Why control? - 11:08 - Spiking control systems - 20:47 - The mixed feedback principle - 23:52 - On thermodynamics - 25:17 - Event-based systems - 29:33 - On dissipativity theory 2023-02-151h 24inControlep8 - Anuradha Annaswamy: Adaptive Control - From the "Brave Era" to Reinforcement Learning and BackIn this episode, our guest is Anuradha Annaswamy. Anu is the Director of the Active-Adaptive Control Laboratory and Senior Research Scientist at the Massachusetts Institute of Technology in the Deparment of Mechanical Engineering. We delve into adaptive control and its exciting history, ranging from the Brave Era to the audacious X15 tests and to modern intersections with Reinforcement Learning. Outline02:15 - Anu's background 05:20 - What is adaptation? 08:30 - The Brave Era 15:17 - The X15 accident 23:16 - Exploration vs exploitation 28:35 - Beyond linearity and time invariance 45:05 - Adaptive control vs...2023-01-161h 04inControlep7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learningIn this episode, our guest is Jean-Jacques Slotine, Professor of Mechanical Engineering and Information Sciences as well as Brain and Cognitive Sciences, Director of the Nonlinear Systems Laboratory at the Massachusetts Institute of Technology, and Distinguished Faculty at Google AI. We explore and connect a wide range of ideas from nonlinear and adaptive control to robotics, neuroscience, complex networks, optimization and machine learning.Outline00:00 - Intro00:50 - Jean-Jacques' early life06:17 - Why control? 09:45 - Sliding control and adaptive nonlinear control18:47 - Neural networks 23:15 - First ventures in neuroscience28:27...2022-11-291h 10inControlep6 - Norbert Wiener and CyberneticsIn this episode, we delve into the extraordinary life of Norbert Wiener, the founding father of cybernetics - the science “control and communication in the animal and the machine”. Outline00:00 - Intro02:06 - The early years of Norbert09:00 - Europe and WWI15:50 - MIT days19:30 - Norbert’s marriage22:39 - Generalised harmonic analysis28:18 - The interactions with Hopf and Paley31:14 - Bush and the analog computer program35:55 - WWII, Bigelow and prediction theory40:41 - Rosenbleuth and teleological machines47:56 - Mexico and Norbert’s biological investig...2022-10-171h 03inControlep5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazzIn this episode, our guest is Sean Meyn, Professor and Robert C. Pittman Eminent Scholar Chair in the Department of Electrical and Computer Engineering at the University of Florida. The episode features Sean’s adventures in the areas of Markov chains, networks and Reinforcement Learning (RL) as well as anecdotes and trivia about beekeeping and jazz.Outline00:00 - Intro00:22 - Sean’s early steps03:53 - Markov chains08:45 - Networks18:26 - Stochastic approximation25:00 - Reinforcement Learning38:57 - The intersection of Reinforcement Learning and Control42:37 - Favourite theorem44:05 - Bee...2022-08-1853 mininControlep4 - Alessandro Chiuso: From system identification to computer vision and backIn this episode, our guest is Alessandro Chiuso. Alessandro is a Professor in the Department of Information Engineering at the University of Padova. The episode covers several topics, including Alessandro’s research trajectory, his work in system identification and vision, and his passion for skiing. Check out Alessandro’s website here: http://automatica.dei.unipd.it/people/chiuso.html Outline00:00 - Intro 01:51 - Research trajectory03:52 - Influential figures 08:20 - System identification17:07 - Regularized system identification 23:30 - Vision28:40 - Data-driven methods30:32 - Future of system identification33:40 - Questio...2022-07-1238 mininControlep1 - A brief prehistory of control theoryThis episode breaks the ice with a bit of the pre-history of control theory. We discuss three iconic ancestors of the science of feedback, including water clocks developed by Ktesibios, the earliest known thermostat, and governors, a class of mechanical devices, which, without exaggeration, have enabled the first industrial Revolution in Britain.Outline00:00 -Intro 01:32 - Ktesibios06:15 - Cornelis Drebble11:55 - GovernorsEpisode linksO. Mayr - The origins of feedback controlK. Kelly - Out of ControlKtesibioshttps://en.wikipedia.org/wiki/CtesibiusDreb...2022-05-1619 mininControlep2 - Florian Dörfler: Power is nothing without controlThis episode features an interview with Florian Dörfler, who is an Associate Professor at the Automatic Control Laboratory at ETH Zürich, Switzerland. We discuss several topics, including his personal research trajectory, the influence of machine learning on control, future challenges in control theory, among others. Check out Florian's website here: http://people.ee.ethz.ch/~floriand/Outline00:00 - Intro 01:03 - Personal research trajectory05:57 - Influence of machine learning on control07:52 - Why doing research in control?09:51 - What would you change in control? 11:36 - Where is the f...2022-05-1623 mininControlep3 - Ben Recht: A tour of optimization, machine learning, and controlIn this episode, our guest is Ben Recht. Ben is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. We discuss several topics, including his research trajectory, Ben's tour of reinforcement learning, and his passion for music, among others. Check out Ben's website here: http://people.eecs.berkeley.edu/~brecht/Outline00:00 - Intro 01:01 - Ben predicts the birth of "inControl"02:40 - Personal research trajectory06:55 - How and why did you dive into control theory?08:43 - Influential figures who shaped Ben's research13:50...2022-05-161h 21
Radio anch'ioRADIO ANCH'IO del 09/01/2019 - Caso Carige - Prima parteAlberto Bagnai, Lega ; Piercarlo Padoan, PD Francesco Cancellato, Linkiesta .2019-01-0923 minRadio anch'ioRADIO ANCH'IO del 13/11/2018 - Manovra, lettera a BruxellesAlberto Bagnai, Lega ; Ferdinando Giugliano, Bloomberg e Repubblica ; Piercarlo Padoan, PD .2018-11-1318 minRadio anch'ioRADIO ANCH'IO del 13/11/2018 - Manovra, lettera a BruxellesAlberto Bagnai, Lega ; Ferdinando Giuliano, Bloomberg e Repubblica ; Piercarlo Padoan, PD .2018-11-1318 min